{"id":120,"date":"2025-03-24T19:31:42","date_gmt":"2025-03-24T23:31:42","guid":{"rendered":"https:\/\/aamas2025.org\/?page_id=120"},"modified":"2025-05-21T16:33:40","modified_gmt":"2025-05-21T20:33:40","slug":"poster-schedule","status":"publish","type":"page","link":"https:\/\/aamas2025.org\/index.php\/conference\/program\/poster-schedule\/","title":{"rendered":"Poster Schedule"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Poster Schedule<\/h2>\n\n\n\n<pre class=\"wp-block-verse\">The program overview is available <a href=\"https:\/\/aamas2025.org\/index.php\/conference\/program\/program-overview\/\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a>.<\/pre>\n\n\n\n<p>AAMAS25 has <strong>6 poster sessions,<\/strong> <strong>2 sessions per day<\/strong> of the main conference (May 21 &#8211; 23), each running in parallel to a coffee break\/demo session.<\/p>\n\n\n\n<ul>\n<li><strong>Morning poster session:<\/strong> 10:00AM &#8211; 10:45AM each day<\/li>\n\n\n\n<li><strong>Afternoon poster session:<\/strong> 3:45PM &#8211; 4:30PM (May 21 &#8211; 22), 3:15PM &#8211; 4:00PM (May 23)<\/li>\n<\/ul>\n\n\n\n<p>In each session, at most 70 posters will be presented (for both accepted full papers and accepted extended abstracts), organized into <strong>3 &#8211; 4 topical clusters<\/strong> based on the <strong><a href=\"https:\/\/aamas2025.org\/index.php\/conference\/calls\/call-for-papers-main-technical-track\/#AoI\" target=\"_blank\" rel=\"noreferrer noopener\">areas of interest<\/a><\/strong> detailed in the <a href=\"https:\/\/aamas2025.org\/index.php\/conference\/calls\/call-for-papers-main-technical-track\/\" target=\"_blank\" rel=\"noreferrer noopener\">Call for Papers (Main Technical Track)<\/a>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"poster-info\">Poster information<\/h3>\n\n\n\n<ul>\n<li>In each session, the <strong>poster presentation area will be divided among the respective topical clusters<\/strong>, with each poster occupying <strong>one poster slot in the section assigned to its cluster<\/strong> <strong>on a first come first serve basis<\/strong>. We will add detailed space allocation information to this page closer to the conference.<\/li>\n\n\n\n<li><strong><span style=\"text-decoration: underline;\">Maximum poster dimensions<\/span>: A0<\/strong>, which is approximately 46.8 inches tall by 33.1 inches wide (1189mm in height by 841mm in width). Portrait orientation is recommended.<\/li>\n\n\n\n<li>The posters for papers to be presented orally in <a href=\"https:\/\/aamas2025.org\/index.php\/conference\/program\/oral-presentation-schedule\/\" target=\"_blank\" rel=\"noreferrer noopener\">TS<em>n<\/em><\/a> are typically assigned to PS<em>n<\/em>, <em>n<\/em> = 1, 2, &#8230;, 6.<\/li>\n\n\n\n<li>Useful information on poster printing is available <a href=\"https:\/\/aamas2025.org\/index.php\/conference\/attending\/poster-printing\/\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a>.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Location<\/h3>\n\n\n\n<p>All poster sessions will be held in the <a href=\"https:\/\/aamas2025.org\/wp-content\/uploads\/2025\/04\/3RD_FLOOR.png\"><strong>Ontario Exhibit Hall on the 3rd floor<\/strong><\/a> of the conference venue. <\/p>\n\n\n\n<p>The assignment of sections of the hall to clusters will be announced before the relevant poster session during the conference.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>Below we provide details of each session, including the names of the topical clusters and the number of posters in each cluster in parentheses next to the cluster name. <b>Please click on the <b>cluster<\/b><\/b><strong><b><b> name<\/b><\/b> next to<b> a black <\/b><\/strong><b>triangle to view the full list of all papers in that cluster.<\/b><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"PS1\"><strong>Poster Session 1 (PS1)<\/strong>: May 21 Morning<\/h3>\n\n\n\n<p><strong>Date &amp; Time:<\/strong> Wednesday, May 21, 10:00AM &#8211; 10:45AM<\/p>\n\n\n\n<p><strong>Total number of posters: <\/strong>65<\/p>\n\n\n\n<p id=\"PS1_GTEP\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>GTEP<\/strong> (22)<\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"><strong>I<\/strong>D<\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">534<\/td><td class=\"has-text-align-left\" data-align=\"left\">Synergistic Traffic Assignment<\/td><td class=\"has-text-align-left\" data-align=\"left\">Thomas Bl\u00e4sius, Adrian Feilhauer, Markus Jung, Moritz Laupichler, Peter Sanders, Michael Z\u00fcndorf<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">517<\/td><td class=\"has-text-align-left\" data-align=\"left\">Minimizing Rosenthal&#8217;s Potential in Monotone Congestion Games<\/td><td class=\"has-text-align-left\" data-align=\"left\">Vittorio Bil\u00f2, Angelo Fanelli, Laurent Gourv\u00e8s, Christos Tsoufis, Cosimo Vinci<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">420<\/td><td class=\"has-text-align-left\" data-align=\"left\">Fairness and Optimality in Routing<\/td><td class=\"has-text-align-left\" data-align=\"left\">Sreenivas Gollapudi, Kostas Kollias, Alkmini Sgouritsa, Ali Kemal Sinop<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">827<\/td><td class=\"has-text-align-left\" data-align=\"left\">Resource Task Games<\/td><td class=\"has-text-align-left\" data-align=\"left\">Jessica L. Newman, Enrico Gerding, Enrico Marchioni, Baharak Rastegari<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">870<\/td><td class=\"has-text-align-left\" data-align=\"left\">Selfish Behavior and Resource Competition in Multi-Agent Systems<\/td><td class=\"has-text-align-left\" data-align=\"left\">Costas Courcoubetis, Antonis Dimakis<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">470<\/td><td class=\"has-text-align-left\" data-align=\"left\">The Bakers and Millers Game with Restricted Locations<\/td><td class=\"has-text-align-left\" data-align=\"left\">Simon Krogmann, Pascal Lenzner, Alexander Skopalik<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1029<\/td><td class=\"has-text-align-left\" data-align=\"left\">Smooth Information Gathering in Two-Player Noncooperative Games<\/td><td class=\"has-text-align-left\" data-align=\"left\">Fernando Palafox, Jesse Milzman, Dong Ho Lee, Ryan Park, David Fridovich-Keil<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">279<\/td><td class=\"has-text-align-left\" data-align=\"left\">Higher-Order Belief in Incomplete Information MAIDs<\/td><td class=\"has-text-align-left\" data-align=\"left\">Jack Foxabbott, Rohan Subramani, Francis Rhys Ward<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">314<\/td><td class=\"has-text-align-left\" data-align=\"left\">Soft Condorcet Optimization for Ranking of General Agents<\/td><td class=\"has-text-align-left\" data-align=\"left\">Marc Lanctot, Kate Larson, Michael Kaisers, Quentin Berthet, Ian Gemp, Manfred Diaz, Roberto-Rafael Maura-Rivero, Yoram Bachrach, Anna Koop, Doina Precup<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">939<\/td><td class=\"has-text-align-left\" data-align=\"left\">Eliminating Majority Illusion<\/td><td class=\"has-text-align-left\" data-align=\"left\">Foivos Fioravantes, Abhiruk Lahiri, Antonio Lauerbach, Llu\u00eds Sabater, Marie Diana Sieper, Samuel Wolf<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">739<\/td><td class=\"has-text-align-left\" data-align=\"left\">Why Instant-Runoff Voting Is So Resilient to Coalitional Manipulation: Phase transitions in the Perturbed Culture<\/td><td class=\"has-text-align-left\" data-align=\"left\">Fran\u00e7ois Durand<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">602<\/td><td class=\"has-text-align-left\" data-align=\"left\"><em>k<\/em>-Approval Veto: A Spectrum of Voting Rules Balancing Metric Distortion and Minority Protection<\/td><td class=\"has-text-align-left\" data-align=\"left\">Fatih Erdem Kizilkaya, David Kempe<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">360<\/td><td class=\"has-text-align-left\" data-align=\"left\">The Metric Distortion of Randomized Social Choice Functions: C1 Maximal Lottery Rules and Simulations<\/td><td class=\"has-text-align-left\" data-align=\"left\">Fabian Frank, Patrick Lederer<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">112<\/td><td class=\"has-text-align-left\" data-align=\"left\">Candidate nomination for Condorcet-consistent voting rules<\/td><td class=\"has-text-align-left\" data-align=\"left\">Ildik\u00f3 Schlotter, Katar\u00edna Cechl\u00e1rov\u00e1<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">579<\/td><td class=\"has-text-align-left\" data-align=\"left\">Condorcet Winners and Anscombe\u2019s Paradox Under Weighted Binary Voting<\/td><td class=\"has-text-align-left\" data-align=\"left\">Carmel Baharav, Andrei Constantinescu, Roger Wattenhofer<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">16<\/td><td class=\"has-text-align-left\" data-align=\"left\">Adapting Beyond the Depth Limit: Counter Strategies in Large Imperfect Information Games<\/td><td class=\"has-text-align-left\" data-align=\"left\">David Milec, Vojtech Kovarik, Viliam Lis\u00fd<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">824<\/td><td class=\"has-text-align-left\" data-align=\"left\">Equilibrium selection via communication partition<\/td><td class=\"has-text-align-left\" data-align=\"left\">Wei-Chen Lee, Alessandro Abate, Michael J. Wooldridge<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">386<\/td><td class=\"has-text-align-left\" data-align=\"left\">Policies with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming Approach<\/td><td class=\"has-text-align-left\" data-align=\"left\">Xinjie Liu, Jingqi Li, Filippos Fotiadis, Mustafa O. Karabag, Jesse Milzman, David Fridovich-Keil, ufuk topcu<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1262<\/td><td class=\"has-text-align-left\" data-align=\"left\">Pure Nash Equilibrium and Strong Nash Equilibrium Computation in Additive Aggregate Games<\/td><td class=\"has-text-align-left\" data-align=\"left\">Jared Soundy, Mohammad T. Irfan, Hau Chan<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">673<\/td><td class=\"has-text-align-left\" data-align=\"left\">The Costly Bargain: Economic Impacts of Price-Seeking Behavior in Aging Populations<\/td><td class=\"has-text-align-left\" data-align=\"left\">Fuguang Chen, Alan Tsang<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">464<\/td><td class=\"has-text-align-left\" data-align=\"left\">Social Ranking for Feature Selection<\/td><td class=\"has-text-align-left\" data-align=\"left\">Laurent Gourv\u00e8s, Stefano Moretti, Satya Tamby<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">117<\/td><td class=\"has-text-align-left\" data-align=\"left\">Resource Allocation under the Latin Square Constraint<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yasushi Kawase, Bodhayan Roy, Mohammad Azharuddin Sanpui<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p id=\"PS1-LEARN\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>LEARN<\/strong> (11)<\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\">ID<\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">1347<\/td><td class=\"has-text-align-left\" data-align=\"left\">Enhancing Sub-Optimal Trajectory Stitching: Spatial Composition RvS for Offline RL<\/td><td class=\"has-text-align-left\" data-align=\"left\">Sheng Zang, Zhiguang Cao, Bo An, Senthilnath Jayavelu, Xiaoli Li<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">771<\/td><td class=\"has-text-align-left\" data-align=\"left\">A View of the Certainty-Equivalence Method for PAC RL as an Application of the Trajectory Tree Method<\/td><td class=\"has-text-align-left\" data-align=\"left\">Shivaram Kalyanakrishnan, Sheel Shah, Santhosh Kumar Guguloth<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">704<\/td><td class=\"has-text-align-left\" data-align=\"left\">Consistency Policy with Categorical Critic for Autonomous Driving<\/td><td class=\"has-text-align-left\" data-align=\"left\">Xing Fang-CASIA, Qichao Zhang, Haoran Li, Dongbin Zhao<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">461<\/td><td class=\"has-text-align-left\" data-align=\"left\">Leveraging Score-based Models for Generating Penalization in Model-based Offline Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Zeyuan Liu, Zhirui Fang, Jiafei Lyu, Xiu Li<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">74<\/td><td class=\"has-text-align-left\" data-align=\"left\">Offline Goal-Conditioned Reinforcement Learning with Elastic-Subgoal Diffused Policy Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yaocheng Zhang, Yuanheng Zhu, Yuqian Fu, Songjun Tu, Dongbin Zha<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">803<\/td><td class=\"has-text-align-left\" data-align=\"left\">Improving Policy Optimization via \ud835\udf3a-Retrain<\/td><td class=\"has-text-align-left\" data-align=\"left\">Luca Marzari, Priya L. Donti, Changliu Liu, Enrico Marchesini<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">507<\/td><td class=\"has-text-align-left\" data-align=\"left\">Making Universal Policies Universal<\/td><td class=\"has-text-align-left\" data-align=\"left\">Niklas Hoepner, David Kuric, Herke van Hoof<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">842<\/td><td class=\"has-text-align-left\" data-align=\"left\">Experience-replay Innovative Dynamics<\/td><td class=\"has-text-align-left\" data-align=\"left\">Tuo Zhang, Leonardo Stella, Julian Barreiro-Gomez<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">890<\/td><td class=\"has-text-align-left\" data-align=\"left\">Improving the effectiveness of potential-based reward shaping in reinforcement learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Henrik M\u00fcller, Daniel Kudenko<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">863<\/td><td class=\"has-text-align-left\" data-align=\"left\">CPE: A New Paradigm for Policy Extraction in Offline Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Zhaohui Yang, Xiaoxuan Wang, Linjing Li<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1002<\/td><td class=\"has-text-align-left\" data-align=\"left\">Action-Dependent Optimality-Preserving Reward Shaping<\/td><td class=\"has-text-align-left\" data-align=\"left\">Grant Collier Forbes, Jianxun Wang, Leonardo Villalobos-Arias, Arnav Jhala, David Roberts<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p id=\"PS1-SIM\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>SIM<\/strong> (13)<\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"><strong>ID<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">1250<\/td><td class=\"has-text-align-left\" data-align=\"left\">ShipNaviSim: Data-Driven Simulation for Real-World Maritime Navigation<\/td><td class=\"has-text-align-left\" data-align=\"left\">Quang Anh Pham, Janaka Chathuranga Brahmanage, Akshat Kumar<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1009<\/td><td class=\"has-text-align-left\" data-align=\"left\">Agent-based Modeling and Simulation of Ambiguity in Catastrophe Insurance Markets<\/td><td class=\"has-text-align-left\" data-align=\"left\">YU BI, Lingxiao Zhao, Jinyun Tong, Zhe Feng, Carmine Ventre<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">457<\/td><td class=\"has-text-align-left\" data-align=\"left\">Artificial Agents Mitigate The Punishment Dilemma Of Indirect Reciprocity<\/td><td class=\"has-text-align-left\" data-align=\"left\">Alexandre S. Pires, Fernando P. Santos<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">297<\/td><td class=\"has-text-align-left\" data-align=\"left\">Simulating and Evaluating Generative Modeling and Collaborative Filtering in Complex Social Networks<\/td><td class=\"has-text-align-left\" data-align=\"left\">Wen Dong, Fairul Mohd-Zaid<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">119<\/td><td class=\"has-text-align-left\" data-align=\"left\">On the limits of agency in agent-based models<\/td><td class=\"has-text-align-left\" data-align=\"left\">Ayush Chopra, Shashank Kumar, Nurullah Giray Kuru, Ramesh Raskar, Arnau Quera-Bofarull<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">900<\/td><td class=\"has-text-align-left\" data-align=\"left\">Agent-Based Analysis of Green Disclosure Policies and Their Market-Wide Impact on Firm Behavior<\/td><td class=\"has-text-align-left\" data-align=\"left\">Lingxiao Zhao, Maria Polukarov, Carmine Ventre<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">160<\/td><td class=\"has-text-align-left\" data-align=\"left\">EconoJax: A Fast &amp; Scalable Economic Simulation in JAX<\/td><td class=\"has-text-align-left\" data-align=\"left\">Koen Ponse, Aske Plaat, Niki van Stein, Thomas M. Moerland<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">155<\/td><td class=\"has-text-align-left\" data-align=\"left\">Transformer Guided Coevolution: Improved Team Formation in Multiagent Adversarial Games<\/td><td class=\"has-text-align-left\" data-align=\"left\">Pranav Rajbhandari, Prithviraj Dasgupta, Donald Sofg<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">173<\/td><td class=\"has-text-align-left\" data-align=\"left\">Shifting Power: Leveraging LLMs to Simulate Human Aversion in ABMs of Bilateral Financial Exchanges, A bond market study.<\/td><td class=\"has-text-align-left\" data-align=\"left\">Alicia Vidler, Toby Walsh<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">181<\/td><td class=\"has-text-align-left\" data-align=\"left\">Multi-Agent Systems for Bullying Intervention<\/td><td class=\"has-text-align-left\" data-align=\"left\">Luis Zhinin-Vera, Jos\u00e9 J Gonz\u00e1lez-Garc\u00eda, V\u00edctor L\u00f3pez-Jaquero, Elena Navarro, Pascual Gonz\u00e1lez<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1216<\/td><td class=\"has-text-align-left\" data-align=\"left\">EconTwo: A Two-Level Multi-Agent Framework for Dynamic Macroeconomic Modeling with Shock Resilience<\/td><td class=\"has-text-align-left\" data-align=\"left\">Zhixun Chen, Zijing Shi, Yaodong Yang, Meng Fang, Yali Du<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1348<\/td><td class=\"has-text-align-left\" data-align=\"left\">Coordinating Competing Electric Vehicle Fleets: An Agent-Based Charging Capacity Market<\/td><td class=\"has-text-align-left\" data-align=\"left\">Lennard Sund, Janik Muires, Ramin Ahadi, Konstantina Valogianni, Wolfgang Ketter<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">102<\/td><td class=\"has-text-align-left\" data-align=\"left\">ADAGE: A generic two-layer framework for adaptive agent based modelling<\/td><td class=\"has-text-align-left\" data-align=\"left\">Benjamin Patrick Evans, Sihan Zeng, Sumitra Ganesh, Leo Ardon<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p id=\"PS1-SOPS_RPR\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>SOPS<\/strong>\/<strong>RPR<\/strong> (19)<\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"><strong>ID<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">244<\/td><td class=\"has-text-align-left\" data-align=\"left\">MAGNET: A Multi-Agent Graph Neural Network for Efficient Bipartite Task Assignment<\/td><td class=\"has-text-align-left\" data-align=\"left\">Donald Loveland, James Usevitch, Zachary Serlin, Danai Koutra, Rajmonda S. Caceres<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">284<\/td><td class=\"has-text-align-left\" data-align=\"left\">Approximation Algorithms for Connected Maximum Coverage<\/td><td class=\"has-text-align-left\" data-align=\"left\">Gianlorenzo D&#8217;Angelo, Esmaeil Delfaraz<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1283<\/td><td class=\"has-text-align-left\" data-align=\"left\">Emit As You Go: Enumerating Edges of a Spanning Tree<\/td><td class=\"has-text-align-left\" data-align=\"left\">Katrin Casel, Stefan Neubert<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1008<\/td><td class=\"has-text-align-left\" data-align=\"left\">Extending Consensus-based Task Allocation Algorithms with Bid Intercession to Foster Mixed-Initiative<\/td><td class=\"has-text-align-left\" data-align=\"left\">Victor Guillet, Charles Lesire, Gauthier Picard, Christophe Grand<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1233<\/td><td class=\"has-text-align-left\" data-align=\"left\">Reinforcement Learning Based Simulated Annealing<\/td><td class=\"has-text-align-left\" data-align=\"left\">Nathan Qiu, Daniel Dali Liang<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">265<\/td><td class=\"has-text-align-left\" data-align=\"left\">Algorithmically Fair Maximization of Multiple Submodular Objective Functions<\/td><td class=\"has-text-align-left\" data-align=\"left\">Georgios Amanatidis, Georgios Birmpas, Philip Lazos, Stefano Leonardi, Rebecca Reiffenh\u00e4user<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">564<\/td><td class=\"has-text-align-left\" data-align=\"left\">Maximizing Truth Learning in a Social Network is NP-hard<\/td><td class=\"has-text-align-left\" data-align=\"left\">Filip \u00daradn\u00edk, Amanda Wang, Jie Gao<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1317<\/td><td class=\"has-text-align-left\" data-align=\"left\">Ready, Bid, Go! On-Demand Delivery Using Fleets of Drones with Unknown Heterogeneous Energy Storage Constraints<\/td><td class=\"has-text-align-left\" data-align=\"left\">Mohamed S. Talamali, Genki Miyauchi, Thomas Watteyne, Micael Santos Couceiro, Roderich Gross<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1289<\/td><td class=\"has-text-align-left\" data-align=\"left\">Optimising expectation with guarantees for window mean payoff in Markov decision processes<\/td><td class=\"has-text-align-left\" data-align=\"left\">Pranshu Gaba, Shibashis Guha<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">795<\/td><td class=\"has-text-align-left\" data-align=\"left\">Decentralized Planning Using Probabilistic Hyperproperties<\/td><td class=\"has-text-align-left\" data-align=\"left\">Francesco Pontiggia, Filip Mac\u00e1k, Roman Andriushchenko, Michele Chiari, Milan Ceska<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">162<\/td><td class=\"has-text-align-left\" data-align=\"left\">Tighter Value-Function Approximations for POMDPs<\/td><td class=\"has-text-align-left\" data-align=\"left\">Merlijn Krale, Wietze Koops, Sebastian Junges, Thiago D. Sim\u00e3o, Nils Jansen<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1113<\/td><td class=\"has-text-align-left\" data-align=\"left\">Multi-Objective Planning with Contextual Lexicographic Reward Preferences<\/td><td class=\"has-text-align-left\" data-align=\"left\">Pulkit Rustagi, Yashwanthi Anand, Sandhya Saisubramanian<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">908<\/td><td class=\"has-text-align-left\" data-align=\"left\">Conditional Max-Sum for Asynchronous Multiagent Decision Making<\/td><td class=\"has-text-align-left\" data-align=\"left\">Dimitrios Troullinos, Georgios Chalkiadakis, Ioannis Papamichail, Markos Papageorgiou<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">714<\/td><td class=\"has-text-align-left\" data-align=\"left\">Single-Agent Planning in a Multi-Agent System: A Unified Framework for Type-Based Planners<\/td><td class=\"has-text-align-left\" data-align=\"left\">Fengming ZHU, Fangzhen Lin<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1392<\/td><td class=\"has-text-align-left\" data-align=\"left\">Minimizing Makespan with Conflict-Based Search for Optimal Multi-Agent Path Finding<\/td><td class=\"has-text-align-left\" data-align=\"left\">Amir Maliah, Dor Atzmon, Ariel Felner<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">424<\/td><td class=\"has-text-align-left\" data-align=\"left\">Insights Regarding the Success of Damping in Improving Belief Propagation<\/td><td class=\"has-text-align-left\" data-align=\"left\">Uriel Zaed, Roie Zivan, Omer Lev<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">590<\/td><td class=\"has-text-align-left\" data-align=\"left\">AlphaZeroES: Direct Score Maximization Outperforms Planning Loss Minimization<\/td><td class=\"has-text-align-left\" data-align=\"left\">Carlos Martin, Tuomas Sandholm<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">175<\/td><td class=\"has-text-align-left\" data-align=\"left\">Observer-Aware Probabilistic Planning under Partial Observability<\/td><td class=\"has-text-align-left\" data-align=\"left\">Salom\u00e9 Lepers, Vincent Thomas, Olivier Buffet<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">877<\/td><td class=\"has-text-align-left\" data-align=\"left\">Where is the nearest EV charging station? Evolutionary optimization of the gas\/charging stations topology<\/td><td class=\"has-text-align-left\" data-align=\"left\">Enrique Mateos-Melero, Javier Moralejo-Pi\u00f1as, \u00c1ngela Dur\u00e1n-Pinto, Francisco Martinez-Gil, Mar\u00eda Soriano, Fernando Fern\u00e1ndez<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"PS2\"><strong>Poster Session 2 (PS2)<\/strong>: May 21 Afternoon<\/h3>\n\n\n\n<p><strong>Date &amp; Time:<\/strong> Wednesday, May 21, 3:45PM &#8211; 4:30PM<\/p>\n\n\n\n<p><strong>Total number of posters: <\/strong>57<\/p>\n\n\n\n<p id=\"PS2-GTEP\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>GTEP<\/strong> (24)<\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"><strong>I<\/strong>D<\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">398<\/td><td class=\"has-text-align-left\" data-align=\"left\">Incentives for Early Arrival in Cost Sharing<\/td><td class=\"has-text-align-left\" data-align=\"left\">Junyu Zhang, Yao Zhang, Yaoxin Ge, Dengji Zhao, Hu Fu, Zhihao Gavin Tang, Pinyan Lu<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">905<\/td><td class=\"has-text-align-left\" data-align=\"left\">An Improved Mechanism for Pricing Ride-Hailing Fares<\/td><td class=\"has-text-align-left\" data-align=\"left\">Marek Adamczyk, Maurycy Borkowski, Micha\u0142 Paw\u0142owski<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">129<\/td><td class=\"has-text-align-left\" data-align=\"left\">FLIGHT: Facility Location Integrating Generalized, Holistic Theory of Welfare<\/td><td class=\"has-text-align-left\" data-align=\"left\">Avyukta Manjunatha Vummintala, Shivam Gupta, Shweta Jain, Sujit Gujar<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">165<\/td><td class=\"has-text-align-left\" data-align=\"left\">Incentivizing Truth Exploration and Honest Reporting: A Contract Design Approach<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yuming Shao, Zhixuan Fang<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">434<\/td><td class=\"has-text-align-left\" data-align=\"left\">Truthful mechanisms for linear bandit games with private contexts<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yiting Hu, Lingjie Duan<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">393<\/td><td class=\"has-text-align-left\" data-align=\"left\">Truthful and Welfare-maximizing Resource Scheduling with Application to Electric Vehicles<\/td><td class=\"has-text-align-left\" data-align=\"left\">Ramsundar Anandanarayanan, Swaprava Nath, Prasant Misra<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">845<\/td><td class=\"has-text-align-left\" data-align=\"left\">Ranking Joint Policies in Dynamic Games using Evolutionary Dynamics<\/td><td class=\"has-text-align-left\" data-align=\"left\">Natalia Koliou, George Vouros<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">813<\/td><td class=\"has-text-align-left\" data-align=\"left\">Temporal Network Creation Games: The Impact of Non-Locality and Terminals<\/td><td class=\"has-text-align-left\" data-align=\"left\">Davide Bil\u00f2, Sarel Cohen, Tobias Friedrich, Hans Gawendowicz, Nicolas Klodt, Pascal Lenzner, George Skretas<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">513<\/td><td class=\"has-text-align-left\" data-align=\"left\">Non-obvious Manipulability in Hedonic Games with Friends Appreciation Preferences<\/td><td class=\"has-text-align-left\" data-align=\"left\">Michele Flammini, Maria Fomenko, Giovanna Varricchio<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">334<\/td><td class=\"has-text-align-left\" data-align=\"left\">Welfare Approximation in Additively Separable Hedonic Games<\/td><td class=\"has-text-align-left\" data-align=\"left\">Martin Bullinger, Vaggos Chatziafratis, Parnian Shahkar<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1293<\/td><td class=\"has-text-align-left\" data-align=\"left\">Maximizing Value in Challenge the Champ Tournaments<\/td><td class=\"has-text-align-left\" data-align=\"left\">Umang Bhaskar, Juhi Chaudhary, Palash Dey<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1393<\/td><td class=\"has-text-align-left\" data-align=\"left\">Towards Envy-Freeness Relaxations for General Nonmonotone Valuations<\/td><td class=\"has-text-align-left\" data-align=\"left\">Umang Bhaskar, Gunjan Kumar, Yeshwant Pandit, Rakshitha<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1394<\/td><td class=\"has-text-align-left\" data-align=\"left\">On the Structure of EFX Orientations on Graphs<\/td><td class=\"has-text-align-left\" data-align=\"left\">Jinghan Zeng, Ruta Mehta<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">274<\/td><td class=\"has-text-align-left\" data-align=\"left\">Learning Fair and Preferable Allocations through Neural Network<\/td><td class=\"has-text-align-left\" data-align=\"left\">Ryota Maruo, Koh Takeuchi, Hisashi Kashima<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">972<\/td><td class=\"has-text-align-left\" data-align=\"left\">Participatory Budgeting Project Strength via Candidate Control<\/td><td class=\"has-text-align-left\" data-align=\"left\">Piotr Faliszewski, \u0141ukasz Janeczko, Du\u0161an Knop, Jan Pokorn\u00fd, \u0160imon Schierreich, Mateusz S\u0142uszniak, Krzysztof Sornat<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1263<\/td><td class=\"has-text-align-left\" data-align=\"left\">On the existence of EFX allocations in multigraphs<\/td><td class=\"has-text-align-left\" data-align=\"left\">Alkmini Sgouritsa, Minas Marios Sotiriou<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1366<\/td><td class=\"has-text-align-left\" data-align=\"left\">Adaptive Microtolling in Competitive Online Congestion Games via Multiagent Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Behrad Koohy, Sebastian Stein, Enrico Gerding<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">205<\/td><td class=\"has-text-align-left\" data-align=\"left\">Voter Participation Control in Online Polls<\/td><td class=\"has-text-align-left\" data-align=\"left\">Koustav De, Palash Dey, Swagato Sanyal<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">133<\/td><td class=\"has-text-align-left\" data-align=\"left\">Shapley Value-based Approach for Distributing Revenue of Matchmaking of Private Transactions in Blockchains<\/td><td class=\"has-text-align-left\" data-align=\"left\">Rasheed, Parth Desai, Yash Chaurasia, Sujit Gujar<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">993<\/td><td class=\"has-text-align-left\" data-align=\"left\">(Submodular) Hedonic Games with Common Ranking Property<\/td><td class=\"has-text-align-left\" data-align=\"left\">Bugra Caskurlu, Ali Eser<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1237<\/td><td class=\"has-text-align-left\" data-align=\"left\">Group-fair Facility Location Games with Externalities<\/td><td class=\"has-text-align-left\" data-align=\"left\">Minming Li, Cheng Peng, Ying Wang, Houyu Zhou<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">951<\/td><td class=\"has-text-align-left\" data-align=\"left\">When to Stop Getting Tested: The Theory of Diagnostic Tests<\/td><td class=\"has-text-align-left\" data-align=\"left\">Anson Kahng, Joseph Saber<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">991<\/td><td class=\"has-text-align-left\" data-align=\"left\">Diversity-seeking swap games in networks<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yaqiao Li, Lata Narayanan, Jaroslav Opatrny<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">380<\/td><td class=\"has-text-align-left\" data-align=\"left\">Learning Bayesian Game Families, with Application to Mechanism Design<\/td><td class=\"has-text-align-left\" data-align=\"left\">Madelyn Gatchel, Michael P. Wellman<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p id=\"PS2-LEARN\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>LEARN<\/strong> (23)<\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"><strong>ID<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">550<\/td><td class=\"has-text-align-left\" data-align=\"left\">Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Lukas Sch\u00e4fer, Oliver Slumbers, Stephen Marcus McAleer, Yali Du, Stefano V Albrecht, David Henry Mguni<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">605<\/td><td class=\"has-text-align-left\" data-align=\"left\">An Organizationally-Oriented Approach to Enhancing Explainability and Control in Multi-Agent Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Julien Soul\u00e9, Jean-Paul Jamont, Michel Occello, Louis-Marie Traonouez, Paul Th\u00e9ron<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">646<\/td><td class=\"has-text-align-left\" data-align=\"left\">Loss of Plasticity: A New Perspective on Solving Multi-Agent Exploration for Sparse Reward Tasks<\/td><td class=\"has-text-align-left\" data-align=\"left\">Zehua Zang, Chuxiong Sun, Lixiang Liu, Fuchun Sun, Changwen Zheng<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">533<\/td><td class=\"has-text-align-left\" data-align=\"left\">Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Wei-Chen Liao, Ti-Rong Wu, I-Chen Wu<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">628<\/td><td class=\"has-text-align-left\" data-align=\"left\">Revisiting Communication Efficiency in Multi-Agent Reinforcement Learning from the Dimensional Analysis Perspective<\/td><td class=\"has-text-align-left\" data-align=\"left\">Chuxiong Sun, Peng He, Rui Wang, Changwen Zheng<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">526<\/td><td class=\"has-text-align-left\" data-align=\"left\">Unveiling Decision Intention for Cooperative Multi-Agent Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Zeren Zhang, Zhiwei Xu, Guangchong Zhou, Dapeng Li, Bin Zhang, Guoliang Fan<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">756<\/td><td class=\"has-text-align-left\" data-align=\"left\">An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative Tasks<\/td><td class=\"has-text-align-left\" data-align=\"left\">George Papadopoulos, Andreas Kontogiannis, Foteini Papadopoulou, Chaido Poulianou, Ioannis Koumentis, George Vouros<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">762<\/td><td class=\"has-text-align-left\" data-align=\"left\">Mitigating Value Conflicts with Computational Theory of Mind<\/td><td class=\"has-text-align-left\" data-align=\"left\">Emre Erdogan, H\u00fcseyin Ayd\u0131n, Frank Dignum, Rineke Verbrugge, Pinar Yolum<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">67<\/td><td class=\"has-text-align-left\" data-align=\"left\">Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model<\/td><td class=\"has-text-align-left\" data-align=\"left\">Songjun Tu, Jingbo Sun, Qichao Zhang, Xiangyuan Lan, Dongbin Zhao<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1005<\/td><td class=\"has-text-align-left\" data-align=\"left\">HAVA: Hybrid Approach to Value-Alignment through Reward Weighing for Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Kryspin Varys, Federico Cerutti, Adam Sobey, Timothy J. Norman<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">709<\/td><td class=\"has-text-align-left\" data-align=\"left\">FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF<\/td><td class=\"has-text-align-left\" data-align=\"left\">Flint Xiaofeng Fan, Cheston Tan, Yew-Soon Ong, Roger Wattenhofer, Wei Tsang Ooi<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">667<\/td><td class=\"has-text-align-left\" data-align=\"left\">Human-Aligned Skill Discovery: Balancing Behaviour Exploration and Alignment<\/td><td class=\"has-text-align-left\" data-align=\"left\">Maxence Hussonnois, Thommen George Karimpanal, Santu Rana<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">167<\/td><td class=\"has-text-align-left\" data-align=\"left\">Personality-Driven Decision Making in LLM-Based Autonomous Agents<\/td><td class=\"has-text-align-left\" data-align=\"left\">Lewis Newsham, Daniel Prince<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1141<\/td><td class=\"has-text-align-left\" data-align=\"left\">Learning Flexible Heterogeneous Coordination With Capability-Aware Shared Hypernetworks<\/td><td class=\"has-text-align-left\" data-align=\"left\">Kevin Fu, Pierce Howell, Shalin Jain, Harish Ravichandar<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1194<\/td><td class=\"has-text-align-left\" data-align=\"left\">Asynchronous Cooperative Multi-Agent Reinforcement Learning with Limited Communication<\/td><td class=\"has-text-align-left\" data-align=\"left\">Sydney Dolan, Siddharth Nayak, Jasmine Jerry Aloor, Hamsa Balakrishnan<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">520<\/td><td class=\"has-text-align-left\" data-align=\"left\">Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity<\/td><td class=\"has-text-align-left\" data-align=\"left\">Calarina Muslimani, Bram Grooten, Deepak Ranganatha Sastry Mamillapalli, Mykola Pechenizkiy, Decebal Constantin Mocanu, Matthew E. Taylor<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">223<\/td><td class=\"has-text-align-left\" data-align=\"left\">Fast Adaption by Policy Deviation Integral Meta-reinforcement Learning with Applications to High-speed Trains Operation<\/td><td class=\"has-text-align-left\" data-align=\"left\">Haotong Zhang, Wanyuan Wang<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">444<\/td><td class=\"has-text-align-left\" data-align=\"left\">Distributed Value Decomposition Networks with Networked Agents<\/td><td class=\"has-text-align-left\" data-align=\"left\">Guilherme S. Varela, Alberto Sardinha, Francisco S. Melo<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">278<\/td><td class=\"has-text-align-left\" data-align=\"left\">Towards Automating the Design of Value-Aligned Clinical Protocols<\/td><td class=\"has-text-align-left\" data-align=\"left\">Manel Rodriguez-Soto, Nardine Osman, Carles Sierra, Rocio Cintas-Garcia, Cristina Farriols-Danes, Montserrat Garcia-Retortillo, Silvia Minguez-Maso, Jordi Martinez-Roldan<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">275<\/td><td class=\"has-text-align-left\" data-align=\"left\">Multi-Objective Reinforcement Learning for Water Management<\/td><td class=\"has-text-align-left\" data-align=\"left\">Zuzanna Osika, Roxana R\u0103dulescu, Jazmin Zatarain Salazar, Frans A Oliehoek, Pradeep K. Murukannaiah<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">88<\/td><td class=\"has-text-align-left\" data-align=\"left\">Empowering Generalization for Deep Reinforcement Learning via Symbolic Planning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Tianpei Yang, Srijita Das, Christabel Wayllace, Matthew E. Taylor<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">222<\/td><td class=\"has-text-align-left\" data-align=\"left\">Leveraging Fully-Observable Solutions for Improved Partially-Observable Offline Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Chulabhaya Wijesundara, Andrea Baisero, Gregory David Castanon, Alan Carlin, Robert Platt, Christopher Amato<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1010<\/td><td class=\"has-text-align-left\" data-align=\"left\">Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource Allocation<\/td><td class=\"has-text-align-left\" data-align=\"left\">Guojun Xiong, Haichuan Wang, Yuqi Pan, Saptarshi Mandal, Sanket Shah, Niclas Boehmer, Milind Tambe<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p id=\"PS2-SOPS_RPR\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>SOPS<\/strong>\/<strong>RPR<\/strong> (10)<\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"><strong>ID<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">518<\/td><td class=\"has-text-align-left\" data-align=\"left\">Alternating-time Temporal Logic with Stochastic Abilities<\/td><td class=\"has-text-align-left\" data-align=\"left\">Gabriel Ballot, Vadim Malvone, Jean Leneutre, Jingxuan Ma, Mourad Leslous<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">874<\/td><td class=\"has-text-align-left\" data-align=\"left\">Formalising Overdetermination in a Labelled Transition System<\/td><td class=\"has-text-align-left\" data-align=\"left\">Gauvain Bourgne, Camilo Sarmiento, Jean Gabriel Gustave Ganascia<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">977<\/td><td class=\"has-text-align-left\" data-align=\"left\">LTL Verification of Memoryful Neural Agents<\/td><td class=\"has-text-align-left\" data-align=\"left\">Mehran Hosseini, Alessio Lomuscio, Nicola Paoletti<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">968<\/td><td class=\"has-text-align-left\" data-align=\"left\">Certified Guidance for Planning with Deep Generative Models<\/td><td class=\"has-text-align-left\" data-align=\"left\">Francesco Giacomarra, Mehran Hosseini, Nicola Paoletti, Francesca Cairoli<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">14<\/td><td class=\"has-text-align-left\" data-align=\"left\">Automatic Verification of Linear Integer Planning Programs via Forgetting in LIAUPF<\/td><td class=\"has-text-align-left\" data-align=\"left\">Liangda Fang, Shikang Chen, Xiaoman Wang, Xiaoyou Lin, Chenyi Zhang, Qingliang Chen, Quanlong Guan, Kaile Su<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">909<\/td><td class=\"has-text-align-left\" data-align=\"left\">Probabilistic Timed ATL<\/td><td class=\"has-text-align-left\" data-align=\"left\">Wojciech Jamroga, Marta Kwiatkowska, Wojciech Penczek, Laure Petrucci, Teofil Sidoruk<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1036<\/td><td class=\"has-text-align-left\" data-align=\"left\">xSRL: Safety-Aware Explainable RL &#8211; Safety as a Product of Explainability<\/td><td class=\"has-text-align-left\" data-align=\"left\">Risal Shahriar Shefin, Md Asifur Rahman, Thai Le, Sarra Alqahtani<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1204<\/td><td class=\"has-text-align-left\" data-align=\"left\">Resolving Multiple-Dynamic Model Uncertainty in Hypothesis-Driven Belief-MDPs<\/td><td class=\"has-text-align-left\" data-align=\"left\">Ofer Dagan, Tyler Becker, Zachary N Sunberg<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">426<\/td><td class=\"has-text-align-left\" data-align=\"left\">Adaptive Budget Optimization for Multichannel Advertising Using Combinatorial Bandits<\/td><td class=\"has-text-align-left\" data-align=\"left\">Briti Gangopadhyay, Zhao Wang, Alberto Silvio Chiappa, Shingo Takamatsu<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1018<\/td><td class=\"has-text-align-left\" data-align=\"left\">Planning for Temporally Extended Goals based on alpha-CTL<\/td><td class=\"has-text-align-left\" data-align=\"left\">Viviane Bonadia dos Santos, Leliane N. de Barros, Maria Viviane de Menezes, Silvio do Lago Pereira<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"PS3\"><strong>Poster Session 3 (PS3)<\/strong>: May 22 Morning<\/h3>\n\n\n\n<p><strong>Date &amp; Time:<\/strong> Thursday, May 22, 10:00AM &#8211; 10:45AM<\/p>\n\n\n\n<p><strong>Total number of posters: <\/strong>66<\/p>\n\n\n\n<p id=\"PS3-GTEP\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>GTEP<\/strong> (18)<\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"><strong>ID<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">797<\/td><td class=\"has-text-align-left\" data-align=\"left\">Games in Public Announcement: How to Reduce System Losses in Optimistic Blockchain Mechanisms<\/td><td class=\"has-text-align-left\" data-align=\"left\">Siyuan Liu, Yulong Zeng<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">224<\/td><td class=\"has-text-align-left\" data-align=\"left\">Factorised Active Inference for Strategic Multi-Agent Interactions<\/td><td class=\"has-text-align-left\" data-align=\"left\">Jaime Ruiz-Serra, Patrick Sweeney, Michael Harre<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">511<\/td><td class=\"has-text-align-left\" data-align=\"left\">Simplifying imperfect recall games<\/td><td class=\"has-text-align-left\" data-align=\"left\">Hugo Gimbert, Soumyajit Paul, B. Srivathsan<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">587<\/td><td class=\"has-text-align-left\" data-align=\"left\">ApproxED: Approximate Exploitability Descent via Learned Best Responses<\/td><td class=\"has-text-align-left\" data-align=\"left\">Carlos Martin, Tuomas Sandholm<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">730<\/td><td class=\"has-text-align-left\" data-align=\"left\">Equilibrium Analysis in Markets with Asymmetric Utility Functions<\/td><td class=\"has-text-align-left\" data-align=\"left\">Martin Bichler, Markus Ewert, Axel Ockenfels<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">917<\/td><td class=\"has-text-align-left\" data-align=\"left\">Policy Abstraction and Nash Refinement in Tree-Exploiting PSRO<\/td><td class=\"has-text-align-left\" data-align=\"left\">Christine Konicki, Mithun Chakraborty, Michael P. Wellman<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">282<\/td><td class=\"has-text-align-left\" data-align=\"left\">Robin Hood Reachability Bidding Games<\/td><td class=\"has-text-align-left\" data-align=\"left\">Shaull Almagor, Guy Avni, Neta Dafni<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1209<\/td><td class=\"has-text-align-left\" data-align=\"left\">The Degree of (Extended) Justified Representation and Its Optimization<\/td><td class=\"has-text-align-left\" data-align=\"left\">Biaoshuai Tao, Chengkai Zhang, Houyu Zhou<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1226<\/td><td class=\"has-text-align-left\" data-align=\"left\">Full Proportional Justified Representation<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yusuf Hakan Kalayci, Jiasen Liu, David Kempe<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">933<\/td><td class=\"has-text-align-left\" data-align=\"left\">Selecting Interlacing Committees<\/td><td class=\"has-text-align-left\" data-align=\"left\">Chris Dong, Martin Bullinger, Tomasz W\u0105s, Larry Birnbaum, Edith Elkind<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">154<\/td><td class=\"has-text-align-left\" data-align=\"left\">Boosting Sortition via Proportional Representation<\/td><td class=\"has-text-align-left\" data-align=\"left\">Soroush Ebadian, Evi Micha<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1142<\/td><td class=\"has-text-align-left\" data-align=\"left\">Who Reviews The Reviewers? A Multi-Level Jury Problem<\/td><td class=\"has-text-align-left\" data-align=\"left\">Ben Abramowitz, Omer Lev, Nicholas Mattei<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1064<\/td><td class=\"has-text-align-left\" data-align=\"left\">The Price of Anarchy in Spatial Social Choice<\/td><td class=\"has-text-align-left\" data-align=\"left\">James Patrick Bailey, Craig Tovey<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">790<\/td><td class=\"has-text-align-left\" data-align=\"left\">Learning Real-Life Approval Elections<\/td><td class=\"has-text-align-left\" data-align=\"left\">Piotr Faliszewski, \u0141ukasz Janeczko, Andrzej Kaczmarczyk, Marcin Kurdziel, Grzegorz Pierczy\u0144ski, Stanis\u0142aw Szufa<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">614<\/td><td class=\"has-text-align-left\" data-align=\"left\">Approximation Ratio for Preference Aggregation Using Tree CP-Nets<\/td><td class=\"has-text-align-left\" data-align=\"left\">Abu Mohammad Hammad Ali, Daniel Ogundare, Boting Yang, Sandra Zilles<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">429<\/td><td class=\"has-text-align-left\" data-align=\"left\">Parameterized Complexity of Hedonic Games with Enemy-Oriented Preferences<\/td><td class=\"has-text-align-left\" data-align=\"left\">Martin Durand, Laurin Erlacher, Johanne M\u00fcller Vistisen, Sofia Simola<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">975<\/td><td class=\"has-text-align-left\" data-align=\"left\">Bridging the Gap between Partially Observable Stochastic Games and Sparse POMDP Methods<\/td><td class=\"has-text-align-left\" data-align=\"left\">Tyler Becker, Zachary N Sunberg<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1335<\/td><td class=\"has-text-align-left\" data-align=\"left\">To Stand on the Shoulders of Giants: Should We Protect Initial Discoveries in Multi-Agent Exploration?<\/td><td class=\"has-text-align-left\" data-align=\"left\">Hodaya Lampert, Reshef Meir, Kinneret Teodorescu<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p id=\"PS3-LEARN\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>LEARN<\/strong> (14)<\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"><strong>ID<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">302<\/td><td class=\"has-text-align-left\" data-align=\"left\">Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Willem R\u00f6pke, Mathieu Reymond, Patrick Mannion, Diederik M Roijers, Ann Nowe, Roxana R\u0103dulescu<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">946<\/td><td class=\"has-text-align-left\" data-align=\"left\">Multi-objective Reinforcement Learning with Nonlinear Preferences: Provable Approximation for Maximizing Expected Scalarized Return<\/td><td class=\"has-text-align-left\" data-align=\"left\">Nianli Peng, Muhang Tian, Brandon Fain<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">950<\/td><td class=\"has-text-align-left\" data-align=\"left\">Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network<\/td><td class=\"has-text-align-left\" data-align=\"left\">Vincent Hsiao, Mark Roberts, Laura M. Hiatt, George Konidaris, Dana S. Nau<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">277<\/td><td class=\"has-text-align-left\" data-align=\"left\">FORM: Learning Expressive and Transferable First-Order Logic Reward Machines<\/td><td class=\"has-text-align-left\" data-align=\"left\">Leo Ardon, Daniel Furelos-Blanco, Roko Para\u0107, Alessandra Russo<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">357<\/td><td class=\"has-text-align-left\" data-align=\"left\">Learning Symbolic Task Decompositions for Multi-Agent Teams<\/td><td class=\"has-text-align-left\" data-align=\"left\">Ameesh Shah, Niklas Lauffer, Thomas Chen, Nikhil Pitta, Sanjit A. Seshia<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1388<\/td><td class=\"has-text-align-left\" data-align=\"left\">Evaluation-Time Policy Switching for Offline Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Natinael Solomon Neggatu, Jeremie Houssineau, Giovanni Montana<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">609<\/td><td class=\"has-text-align-left\" data-align=\"left\">Combining Planning and Reinforcement Learning for Solving Relational Multiagent Domains<\/td><td class=\"has-text-align-left\" data-align=\"left\">Nikhilesh Prabhakar, Ranveer Singh, Harsha Kokel, Sriraam Natarajan, Prasad Tadepalli<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">111<\/td><td class=\"has-text-align-left\" data-align=\"left\">AdaCred: Adaptive Causal Decision Transformers with Feature Crediting<\/td><td class=\"has-text-align-left\" data-align=\"left\">Hemant Kumawat, Saibal Mukhopadhyay<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">656<\/td><td class=\"has-text-align-left\" data-align=\"left\">Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences<\/td><td class=\"has-text-align-left\" data-align=\"left\">Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">463<\/td><td class=\"has-text-align-left\" data-align=\"left\">CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Zeyuan Liu, Yang Kai, Jiafei Lyu, Xiu Li<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">26<\/td><td class=\"has-text-align-left\" data-align=\"left\">Offline Meta Reinforcement Learning with Weighted Policy Constraints and Proximal Context Collection<\/td><td class=\"has-text-align-left\" data-align=\"left\">Haorui Li, Jiaqi Liang, Linjing Li, Daniel Dajun Zeng<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">296<\/td><td class=\"has-text-align-left\" data-align=\"left\">Adaptive Offline Data Replay in Offline-to-Online Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Xu Liu, Tong Yu, Shuai Li<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1053<\/td><td class=\"has-text-align-left\" data-align=\"left\">Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools<\/td><td class=\"has-text-align-left\" data-align=\"left\">Panagiotis Lymperopoulos, Vasanth Sarathy<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">350<\/td><td class=\"has-text-align-left\" data-align=\"left\">On-Policy Reinforcement Learning From Failure via Sparse Reward Densification<\/td><td class=\"has-text-align-left\" data-align=\"left\">Mingkang Wu, Yongcan Cao<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p id=\"PS3-SOPS_RPR\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>SOPS<\/strong>\/<strong>RPR<\/strong> (13)<\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"><strong>ID<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">427<\/td><td class=\"has-text-align-left\" data-align=\"left\">Translating Multi-Agent Modal Logics of Knowledge and Belief into Decidable First-Order Fragments<\/td><td class=\"has-text-align-left\" data-align=\"left\">Qihui Feng, Hannah Wilk, Shakil M Khan, Gerhard Lakemeyer<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">37<\/td><td class=\"has-text-align-left\" data-align=\"left\">Impact Measures for Gradual Argumentation Semantics<\/td><td class=\"has-text-align-left\" data-align=\"left\">Caren Al Anaissy, J\u00e9r\u00f4me Delobelle, Srdjan Vesic, Bruno Yun<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">999<\/td><td class=\"has-text-align-left\" data-align=\"left\">Policy Graphs and Intention: answering \u2019why\u2019 and \u2019how\u2019 from a telic perspective<\/td><td class=\"has-text-align-left\" data-align=\"left\">Victor Gimenez-Abalos, Sergio Alvarez-Napagao, Adri\u00e1n Tormos, Ulises Cort\u00e9s, Javier Vazquez-Salceda<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1273<\/td><td class=\"has-text-align-left\" data-align=\"left\">On Learning Informative Trajectory Embeddings for Imitation, Classification, and Regression<\/td><td class=\"has-text-align-left\" data-align=\"left\">Zichang Ge, Changyu Chen, Arunesh Sinha, Pradeep Varakantham<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">865<\/td><td class=\"has-text-align-left\" data-align=\"left\">Greedy ABA Learning for Case-Based Reasoning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Emanuele De Angelis, Maurizio Proietti, Francesca Toni<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">4<\/td><td class=\"has-text-align-left\" data-align=\"left\">Logic of Knowledge and Cognitive Ability<\/td><td class=\"has-text-align-left\" data-align=\"left\">Jia Tao, Xinran Zhang<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">887<\/td><td class=\"has-text-align-left\" data-align=\"left\">A Simple Integration of Epistemic Logic and Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Thorsten Engesser, Thibaut Le Marre, Emiliano Lorini, Fran\u00e7ois Schwarzentruber, Bruno Zanuttini<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">170<\/td><td class=\"has-text-align-left\" data-align=\"left\">Learning Graph Representation of Agent Diffusers<\/td><td class=\"has-text-align-left\" data-align=\"left\">Youcef Djenouri, Nassim Belmecheri, Tomasz Pawel Michalak, Jan Dubi\u0144ski, Ahmed Nabil Belbachir, Anis Yazidi<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">172<\/td><td class=\"has-text-align-left\" data-align=\"left\">Robust Strategies for Stochastic Multi-Agent Systems<\/td><td class=\"has-text-align-left\" data-align=\"left\">Rapha\u00ebl Berthon, Joost-Pieter Katoen, Munyque Mittelmann, Aniello Murano<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">735<\/td><td class=\"has-text-align-left\" data-align=\"left\">Multiplayer Games With Incomplete Information for Hyperproperty Verification<\/td><td class=\"has-text-align-left\" data-align=\"left\">Raven Beutner, Bernd Finkbeiner<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">449<\/td><td class=\"has-text-align-left\" data-align=\"left\">Managing an Agent\u2019s Changing Intentions Using LTL\ud835\udc53 Synthesis<\/td><td class=\"has-text-align-left\" data-align=\"left\">Giuseppe De Giacomo, Yves Lesperance, Gianmarco Parretti, Fabio Patrizi, Renzo Schram<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">758<\/td><td class=\"has-text-align-left\" data-align=\"left\">What Is a Counterfactual Cause in Action Theories?<\/td><td class=\"has-text-align-left\" data-align=\"left\">Daxin Liu, Vaishak Belle<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1040<\/td><td class=\"has-text-align-left\" data-align=\"left\">Formal Verification of Manipulation Dialogues<\/td><td class=\"has-text-align-left\" data-align=\"left\">Andreas Br\u00e4nnstr\u00f6m, Chiaki Sakama, Juan Carlos Nieves<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p id=\"PS3-COINE\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>COINE<\/strong> (21)<\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"><strong>ID<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">1307<\/td><td class=\"has-text-align-left\" data-align=\"left\">Preventing Misinformation with Redundancy in Emergent Communication<\/td><td class=\"has-text-align-left\" data-align=\"left\">F\u00e1bio Vital, Alberto Sardinha, Francisco S. Melo<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">942<\/td><td class=\"has-text-align-left\" data-align=\"left\">Emergence of Recursive Language through Bootstrapping and Iterated Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Vikas Kumar, Ajin George Joseph<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">932<\/td><td class=\"has-text-align-left\" data-align=\"left\">Coherence-Driven Multimodal Safety Dialogue with Active Learning for Embodied Agents<\/td><td class=\"has-text-align-left\" data-align=\"left\">Sabit Hassan, Hye-Young Chung, Xiang Zhi Tan, Malihe Alikhani<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">630<\/td><td class=\"has-text-align-left\" data-align=\"left\">TACTIC: Task-Agnostic Contrastive pre-Training for Inter-Agent Communication<\/td><td class=\"has-text-align-left\" data-align=\"left\">Peihong Yu, Manav Mishra, Syed Zaidi, Pratap Tokekar<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">592<\/td><td class=\"has-text-align-left\" data-align=\"left\">SCMRAG: Self-Corrective Multihop Retrieval Augmented Generation System for LLM Agents<\/td><td class=\"has-text-align-left\" data-align=\"left\">Rishabh Agrawal, Murtaza Asrani, Hadi Youssef, Apurva Narayan<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1103<\/td><td class=\"has-text-align-left\" data-align=\"left\">Dynamic Coalition Structure Detection in Natural-Language-based Interactions<\/td><td class=\"has-text-align-left\" data-align=\"left\">Abhishek Ninad Kulkarni, Andy Liu, Jean-Rapha\u00ebl Gaglione, Daniel Fried, ufuk topcu<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">303<\/td><td class=\"has-text-align-left\" data-align=\"left\">Curiosity-Driven Partner Selection Accelerates Convention Emergence in Language Games<\/td><td class=\"has-text-align-left\" data-align=\"left\">Chin-wing Leung, Paolo Turrini, Ann Nowe<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1189<\/td><td class=\"has-text-align-left\" data-align=\"left\">Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures<\/td><td class=\"has-text-align-left\" data-align=\"left\">Erfaun Noorani, Pasan Dissanayake, Faisal Hamman, Sanghamitra Dutta<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">621<\/td><td class=\"has-text-align-left\" data-align=\"left\">Who Am I Dealing With? Explaining the Designer&#8217;s Hidden Intentions<\/td><td class=\"has-text-align-left\" data-align=\"left\">Turgay Caglar, Sarath Sreedharan, Mor Vered<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1020<\/td><td class=\"has-text-align-left\" data-align=\"left\">Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring<\/td><td class=\"has-text-align-left\" data-align=\"left\">Gusseppe Bravo-Rocca, Peini Liu, Jordi Guitart, Rodrigo M Carrillo-Larco, Ajay Dholakia, David Ellison<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">367<\/td><td class=\"has-text-align-left\" data-align=\"left\">A Scoresheet for Explainable AI<\/td><td class=\"has-text-align-left\" data-align=\"left\">Michael Winikoff, John Thangarajah, Sebastian Rodriguez<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">765<\/td><td class=\"has-text-align-left\" data-align=\"left\">Free Argumentative Exchanges for Explaining Image Classifiers<\/td><td class=\"has-text-align-left\" data-align=\"left\">Avinash Kori, Antonio Rago, Francesca Toni<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">699<\/td><td class=\"has-text-align-left\" data-align=\"left\">Explaining Facial Expression Recognition<\/td><td class=\"has-text-align-left\" data-align=\"left\">Sanjeev Nahulanthran, Leimin Tian, Dana Kulic, Mor Vered<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1387<\/td><td class=\"has-text-align-left\" data-align=\"left\">Contrastive Explainable Clustering with Differential Privacy<\/td><td class=\"has-text-align-left\" data-align=\"left\">Ariel Vetzler, Dung Nguyen, Sarit Kraus, Anil Vullikanti<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">944<\/td><td class=\"has-text-align-left\" data-align=\"left\">Neural DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable Policies<\/td><td class=\"has-text-align-left\" data-align=\"left\">Kexin Gu Baugh, Luke Dickens, Alessandra Russo<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1308<\/td><td class=\"has-text-align-left\" data-align=\"left\">Will Systems of LLM Agents Lead to Cooperation: An Investigation into a Social Dilemma<\/td><td class=\"has-text-align-left\" data-align=\"left\">Richard Willis, Yali Du, Joel Z Leibo<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">952<\/td><td class=\"has-text-align-left\" data-align=\"left\">Cultural Evolution of Cooperation among LLM Agents<\/td><td class=\"has-text-align-left\" data-align=\"left\">Aron Vallinder, Edward Hughes<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">626<\/td><td class=\"has-text-align-left\" data-align=\"left\">Rethinking Explainable AI: Explanations can be Deceiving<\/td><td class=\"has-text-align-left\" data-align=\"left\">Peta Masters, Daniel Gallagher, Luc Moreau, Mor Vered<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">541<\/td><td class=\"has-text-align-left\" data-align=\"left\">ChatBDI: Think BDI, Talk LLM<\/td><td class=\"has-text-align-left\" data-align=\"left\">Andrea Gatti, Viviana Mascardi, Angelo Ferrando<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">768<\/td><td class=\"has-text-align-left\" data-align=\"left\">Quantitative Operational Monitoring for BDI Agents<\/td><td class=\"has-text-align-left\" data-align=\"left\">Marie Farrell, Angelo Ferrando, Mengwei Xu<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">876<\/td><td class=\"has-text-align-left\" data-align=\"left\">Agreement Games in Multi-Agent Systems<\/td><td class=\"has-text-align-left\" data-align=\"left\">Davide Catta, Angelo Ferrando, Vadim Malvone<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"PS4\"><strong>Poster Session 4 (PS4)<\/strong>: May 22 Afternoon<\/h3>\n\n\n\n<p><strong>Date &amp; Time:<\/strong> Thursday, May 22, 3:45PM &#8211; 4:30PM<\/p>\n\n\n\n<p><strong>Total number of posters: <\/strong>59<\/p>\n\n\n\n<p id=\"PS4-GTEP\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>GTEP<\/strong> (26)<\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"><strong>ID<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">696<\/td><td class=\"has-text-align-left\" data-align=\"left\">Housing Market on Networks<\/td><td class=\"has-text-align-left\" data-align=\"left\">Xinwei Song, Tianyi Yang, Dengji Zhao<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">27<\/td><td class=\"has-text-align-left\" data-align=\"left\">The Strong Core of Housing Markets with Partial Order Preferences<\/td><td class=\"has-text-align-left\" data-align=\"left\">Ildik\u00f3 Schlotter, Lydia Mirabel Mendoza-Cadena<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">73<\/td><td class=\"has-text-align-left\" data-align=\"left\">To Spend or to Gain: Online Learning in Repeated Karma Auctions<\/td><td class=\"has-text-align-left\" data-align=\"left\">Damien Berriaud, Ezzat Elokda, Devansh Jalota, Emilio Frazzoli, Marco Pavone, Florian Dorfler<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1102<\/td><td class=\"has-text-align-left\" data-align=\"left\">Indifferential Privacy: A New Paradigm and Its Applications to Optimal Matching in Dark Pool Auctions<\/td><td class=\"has-text-align-left\" data-align=\"left\">Antigoni Polychroniadou, T-H. Hubert Chan, Adya Agrawal<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">462<\/td><td class=\"has-text-align-left\" data-align=\"left\">Opinion Dynamics with Median Aggregation<\/td><td class=\"has-text-align-left\" data-align=\"left\">Petra Berenbrink, Martin Hoefer, Dominik Kaaser, Marten Maack, Malin Rau, Lisa Wilhelmi<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1188<\/td><td class=\"has-text-align-left\" data-align=\"left\">Learning Collusion in Episodic, Inventory-Constrained Markets<\/td><td class=\"has-text-align-left\" data-align=\"left\">Paul Friedrich, Barna P\u00e1sztor, Giorgia Ramponi<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">683<\/td><td class=\"has-text-align-left\" data-align=\"left\">Data Pricing for Graph Neural Networks without Pre-purchased Inspection<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yiping Liu, Mengxiao Zhang, Jiamou Liu, Song Yang<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1303<\/td><td class=\"has-text-align-left\" data-align=\"left\">DUPRE: Data Utility Prediction for Efficient Data Valuation<\/td><td class=\"has-text-align-left\" data-align=\"left\">Pham Kieu Thao Nguyen, Rachael Hwee Ling Sim, Quoc Phong Nguyen, See-Kiong Ng, Bryan Kian Hsiang Low<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">335<\/td><td class=\"has-text-align-left\" data-align=\"left\">Fairly Allocating Goods in Parallel<\/td><td class=\"has-text-align-left\" data-align=\"left\">Rohan Garg, Alexandros Psomas<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">671<\/td><td class=\"has-text-align-left\" data-align=\"left\">Fair Allocation of Divisible Goods under Non-Linear Valuations<\/td><td class=\"has-text-align-left\" data-align=\"left\">Haris Aziz, Zixu He, Xinhang Lu, Kaiyang Zhou<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">495<\/td><td class=\"has-text-align-left\" data-align=\"left\">On the Hardness of Fair Allocation under Ternary Valuations<\/td><td class=\"has-text-align-left\" data-align=\"left\">Zack Fitzsimmons, Vignesh Viswanathan, Yair Zick<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">146<\/td><td class=\"has-text-align-left\" data-align=\"left\">On the Fairness of Additive Welfarist Rules<\/td><td class=\"has-text-align-left\" data-align=\"left\">Karen Frilya Celine, Warut Suksompong, Sheung Man Yuen<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">664<\/td><td class=\"has-text-align-left\" data-align=\"left\">EFX Allocations and Orientations on Bipartite Multi-graphs: A Complete Picture<\/td><td class=\"has-text-align-left\" data-align=\"left\">Mahyar Afshinmehr, Alireza Danaei, Mehrafarin Kazemi, Kurt Mehlhorn, Nidhi Rathi<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">330<\/td><td class=\"has-text-align-left\" data-align=\"left\">Computing Efficient Envy-Free Partial Allocations of Indivisible Goods<\/td><td class=\"has-text-align-left\" data-align=\"left\">Robert Bredereck, Andrzej Kaczmarczyk, Junjie Luo, Bin Sun<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">472<\/td><td class=\"has-text-align-left\" data-align=\"left\">Fair Division in a Variable Setting<\/td><td class=\"has-text-align-left\" data-align=\"left\">Harish Chandramouleeswaran, Prajakta Nimbhorkar, Nidhi Rathi<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">523<\/td><td class=\"has-text-align-left\" data-align=\"left\">Temporal Fair Division of Indivisible Items<\/td><td class=\"has-text-align-left\" data-align=\"left\">Edith Elkind, Alexander Lam, Mohamad Latifian, Tzeh Yuan Neoh, Nicholas Teh<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1155<\/td><td class=\"has-text-align-left\" data-align=\"left\">Liquid Welfare and Revenue Monotonicity in Adaptive Clinching Auctions<\/td><td class=\"has-text-align-left\" data-align=\"left\">Ryosuke Sato<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1021<\/td><td class=\"has-text-align-left\" data-align=\"left\">Efficient Multi-Agent Delegated Search<\/td><td class=\"has-text-align-left\" data-align=\"left\">Curtis Bechtel, Shaddin Dughmi<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">682<\/td><td class=\"has-text-align-left\" data-align=\"left\">Satisfactory Budget Division<\/td><td class=\"has-text-align-left\" data-align=\"left\">Laurent Gourv\u00e8s, Michael Lampis, Nikolaos Melissinos, Aris Pagourtzis<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">970<\/td><td class=\"has-text-align-left\" data-align=\"left\">Weighted Envy Freeness With Bounded Subsidies<\/td><td class=\"has-text-align-left\" data-align=\"left\">Noga Klein Elmalem, Rica Gonen, Erel Segal-Halevi<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1138<\/td><td class=\"has-text-align-left\" data-align=\"left\">Weighted Envy-free Allocation with Subsidy<\/td><td class=\"has-text-align-left\" data-align=\"left\">Haris Aziz, Xin Huang, Kei Kimura, Indrajit Saha, Zhaohong Sun, Mashbat Suzuki, Makoto Yokoo<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">123<\/td><td class=\"has-text-align-left\" data-align=\"left\">Group Fairness in Multi-period Mobile Facility Location Problems<\/td><td class=\"has-text-align-left\" data-align=\"left\">Haris Aziz, Hau Chan, Xingchen Sha, Toby Walsh, Lirong Xia<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">396<\/td><td class=\"has-text-align-left\" data-align=\"left\">Optimal Mechanism Design for Crowdfunding of Public Goods<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yukun Cheng, Xiaotie Deng, Baqiao Quan<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">723<\/td><td class=\"has-text-align-left\" data-align=\"left\">Environmental Policies within Cournot Oligopoly<\/td><td class=\"has-text-align-left\" data-align=\"left\">Liang Shan, Zhengyang Liu, Haoqiang Huang, Zihe Wang<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">190<\/td><td class=\"has-text-align-left\" data-align=\"left\">Fair Assignment on Multi-Stage Graphs<\/td><td class=\"has-text-align-left\" data-align=\"left\">Vibulan J, Swapnil Dhamal, Shweta Jain, Ojassvi Kumar, Aman Kumar, Harpreet Singh<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">962<\/td><td class=\"has-text-align-left\" data-align=\"left\">Adaptive Multi-Round Influence Maximization with Limited Information<\/td><td class=\"has-text-align-left\" data-align=\"left\">Diodato Ferraioli, Vincenzo Auletta, Cosimo Vinci, Francesco Carbone<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p id=\"PS4-LEARN\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>LEARN<\/strong> (13)<\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"><strong>ID<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">787<\/td><td class=\"has-text-align-left\" data-align=\"left\">PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Kun Hu, Muning Wen, Xihuai Wang, Shao Zhang, Yiwei Shi, Minne Li, Minglong Li, Ying Wen<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">930<\/td><td class=\"has-text-align-left\" data-align=\"left\">Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction<\/td><td class=\"has-text-align-left\" data-align=\"left\">Taher Jafferjee, Juliusz Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Henry Mguni<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">389<\/td><td class=\"has-text-align-left\" data-align=\"left\">Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration<\/td><td class=\"has-text-align-left\" data-align=\"left\">Hai Zhong, Xun Wang, Zhuoran Li, Longbo Huang<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">805<\/td><td class=\"has-text-align-left\" data-align=\"left\">On Stateful Value Factorization in Multi-Agent Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Enrico Marchesini, Andrea Baisero, Rupali Bhati, Christopher Amato<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">159<\/td><td class=\"has-text-align-left\" data-align=\"left\">Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yaodong Yang, Guangyong Chen, Hongyao Tang, Furui Liu, Danruo Deng, Pheng-Ann Heng<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">116<\/td><td class=\"has-text-align-left\" data-align=\"left\">Adaptive Episode Length Adjustment for Multi-agent Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Byunghyun Yoo, Younghwan Shin, Hyunwoo Kim, Euisok Chung, Jeongmin Yang<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1140<\/td><td class=\"has-text-align-left\" data-align=\"left\">Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment<\/td><td class=\"has-text-align-left\" data-align=\"left\">Kartik Nagpal, Dayi Ethan Dong, Negar Mehr<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">941<\/td><td class=\"has-text-align-left\" data-align=\"left\">EnEnv 1.0: Energy Grid Environment for Multi-Agent Reinforcement Learning Benchmarking<\/td><td class=\"has-text-align-left\" data-align=\"left\">Dominik Jacek Bogucki, \u0141ukasz Eugeniusz Lepak, Sonam Parashar, Bart Blachowski, Pawe\u0142 Wawrzy\u0144ski<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">860<\/td><td class=\"has-text-align-left\" data-align=\"left\">Entropic Exploration for Constrained Multiagent Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Ayhan Alp Aydeniz, Enrico Marchesini, Robert Loftin, Christopher Amato, Kagan Tumer<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">689<\/td><td class=\"has-text-align-left\" data-align=\"left\">Decentralized Deep Reinforcement Learning for Cooperative Multi-Agent Flight Trajectory Planning in Adverse Weather<\/td><td class=\"has-text-align-left\" data-align=\"left\">Bizhao Pang, Mingcheng Zhang, Xinting Hu, sameer alam, Guglielmo Lulli<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">260<\/td><td class=\"has-text-align-left\" data-align=\"left\">Dynamic Conservative Degree Allocation for Offline Multi-Agent Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Haosheng Chen, Yun Hua, Junjie Sheng, Wenhao Li, Bo Jin, Xiangfeng Wang<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">584<\/td><td class=\"has-text-align-left\" data-align=\"left\">Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense<\/td><td class=\"has-text-align-left\" data-align=\"left\">Aditya Vikram Singh, Ethan Rathbun, Emma Graham, Lisa Oakley, Simona Boboila, Alina Oprea, Peter Chin<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1025<\/td><td class=\"has-text-align-left\" data-align=\"left\">Fairness in Cooperative Multiagent Multiobjective Reinforcement Learning using the Expected Scalarized Reward Criterion<\/td><td class=\"has-text-align-left\" data-align=\"left\">Fares Chouaki, Aur\u00e9lie Beynier, Nicolas Maudet, Paolo Viappiani<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p id=\"PS4-SOPS_RPR\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>SOPS<\/strong>\/<strong>RPR<\/strong> (8)<\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"><strong>ID<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">1176<\/td><td class=\"has-text-align-left\" data-align=\"left\">Hitchhiker&#8217;s Guide to Patrolling: Path-Finding for Energy-Sharing Drone-UGV Teams<\/td><td class=\"has-text-align-left\" data-align=\"left\">Jonathan Diller, Qi Han, Robert Byers, James Dotterweich, James Humann<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1389<\/td><td class=\"has-text-align-left\" data-align=\"left\">CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems<\/td><td class=\"has-text-align-left\" data-align=\"left\">Chuanbo Hua, Federico Berto, Jiwoo Son, Seunghyun Kang, Changhyun Kwon, Jinkyoo Park<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1346<\/td><td class=\"has-text-align-left\" data-align=\"left\">Parameterized Algorithms for Multiagent Pathfinding on Trees<\/td><td class=\"has-text-align-left\" data-align=\"left\">Argyrios Deligkas, Eduard Eiben, Robert Ganian, Iyad A. Kanj, Ramanujan Sridharan<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">91<\/td><td class=\"has-text-align-left\" data-align=\"left\">On the Power of Temporal Locality on Online Routing Problems<\/td><td class=\"has-text-align-left\" data-align=\"left\">Swapnil Guragain, Gokarna Sharma<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">337<\/td><td class=\"has-text-align-left\" data-align=\"left\">Towards Fair and Efficient Public Transportation: A Bus Stop Model<\/td><td class=\"has-text-align-left\" data-align=\"left\">Martin Bullinger, Edith Elkind, Mohamad Latifian<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">448<\/td><td class=\"has-text-align-left\" data-align=\"left\">Interaction Protocols in an Imperative Agent-Oriented Programming Language: the case of BSPL and SARL<\/td><td class=\"has-text-align-left\" data-align=\"left\">Matteo Baldoni, Cristina Baroglio, St\u00e9phane Galland, Roberto Micalizio, Fatma Outay, Stefano Tedeschi<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">348<\/td><td class=\"has-text-align-left\" data-align=\"left\">Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields<\/td><td class=\"has-text-align-left\" data-align=\"left\">Arseniy Pertzovsky, Roni Stern, Roie Zivan, Ariel Felner<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1073<\/td><td class=\"has-text-align-left\" data-align=\"left\">Online Competitive Information Gathering for Partially Observable Trajectory Games<\/td><td class=\"has-text-align-left\" data-align=\"left\">Mel Krusniak, Hang Xu, Parker Palermo, Forrest John Laine<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p id=\"PS4-HAI_XAI\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>HAI<\/strong>\/<strong>XAI<\/strong> (12)<\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>ID<\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td>1381<\/td><td class=\"has-text-align-left\" data-align=\"left\">Modeling the Centaur: Human-Machine Synergy in Sequential Decision Making<\/td><td class=\"has-text-align-left\" data-align=\"left\">David Shoresh, Yonatan Loewenstein<\/td><\/tr><tr><td>571<\/td><td class=\"has-text-align-left\" data-align=\"left\">Socratic: Enhancing Human Teamwork via AI-enabled Coaching<\/td><td class=\"has-text-align-left\" data-align=\"left\">Sangwon Seo, Bing Han, Rayan Ebnali Harari, Roger Daglius Dias, Marco A. Zenati, Eduardo Salas, Vaibhav V. Unhelkar<\/td><\/tr><tr><td>243<\/td><td class=\"has-text-align-left\" data-align=\"left\">Human-Agent Coordination in Games under Incomplete Information via Multi-Step Intent<\/td><td class=\"has-text-align-left\" data-align=\"left\">Shenghui Chen, Ruihan Zhao, Sandeep P. Chinchali, Ufuk Topcu<\/td><\/tr><tr><td>1265<\/td><td class=\"has-text-align-left\" data-align=\"left\">Conformal Set-based Human-AI Complementarity with Multiple Experts<\/td><td class=\"has-text-align-left\" data-align=\"left\">Helbert Paat, Guohao Shen<\/td><\/tr><tr><td>1026<\/td><td class=\"has-text-align-left\" data-align=\"left\">Uncertainty Expression for Human-Robot Task Communication<\/td><td class=\"has-text-align-left\" data-align=\"left\">David Porfirio, Mark Roberts, Laura M. Hiatt<\/td><\/tr><tr><td>1068<\/td><td class=\"has-text-align-left\" data-align=\"left\">An AI-Driven Card Playing Robot: An Empirical Study on Communicative Style and Embodiment with Elderly Adults<\/td><td class=\"has-text-align-left\" data-align=\"left\">Michael Banck, Elisabeth Ganal, Hanna-Finja Weichert, Frank Puppe, Birgit Lugrin<\/td><\/tr><tr><td>308<\/td><td class=\"has-text-align-left\" data-align=\"left\">Investigating the Perspective of Non-Native Speakers on Foreigner-Directed Speech using Virtual Agents: The Role of Racial Ingroup Affiliation and Language Proficiency on Perception and Comprehension<\/td><td class=\"has-text-align-left\" data-align=\"left\">Ohenewa Bediako Akuffo, Birgit Lugrin<\/td><\/tr><tr><td>897<\/td><td class=\"has-text-align-left\" data-align=\"left\">Can you see how I learn? Human observers\u2019 inferences about Reinforcement Learning agents\u2019 learning processes<\/td><td class=\"has-text-align-left\" data-align=\"left\">Bernhard Hilpert, Muhan Hou, Kim Baraka, Joost Broekens<\/td><\/tr><tr><td>109<\/td><td class=\"has-text-align-left\" data-align=\"left\">Predicting Team Performance from Communications in Simulated Search-and-Rescue<\/td><td class=\"has-text-align-left\" data-align=\"left\">Ali Jalal-Kamali, Nikolos M Gurney, David V. Pynadath<\/td><\/tr><tr><td>1291<\/td><td class=\"has-text-align-left\" data-align=\"left\">Decoding Negotiation Dynamics: The Impact of Opponent Identity and Privacy on Strategy, Deception, and Emotional Transparency in Human-Agent Interaction<\/td><td class=\"has-text-align-left\" data-align=\"left\">Nusrath Jahan, Johnathan Mell<\/td><\/tr><tr><td>525<\/td><td class=\"has-text-align-left\" data-align=\"left\">Combining LLMs with a Logic-Based Framework to Explain MCTS<\/td><td class=\"has-text-align-left\" data-align=\"left\">Ziyan An, Xia Wang, Hendrik Baier, Zirong Chen, Abhishek Dubey, Taylor T Johnson, Jonathan Sprinkle, Ayan Mukhopadhyay, Meiyi Ma<\/td><\/tr><tr><td>365<\/td><td class=\"has-text-align-left\" data-align=\"left\">Requirements-based Explainability for Multi Agent Systems<\/td><td class=\"has-text-align-left\" data-align=\"left\">Sebastian Rodriguez, John Thangarajah, Michael Winikoff<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"PS5\"><strong>Poster Session 5 (PS5)<\/strong>: May 23 Morning<\/h3>\n\n\n\n<p><strong>Date &amp; Time:<\/strong> Friday, May 23, 10:00AM &#8211; 10:45AM<\/p>\n\n\n\n<p><strong>Total number of posters: <\/strong>65<\/p>\n\n\n\n<p id=\"PS5-GTEP\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>GTEP<\/strong> (8)<\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"><strong>ID<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">212<\/td><td class=\"has-text-align-left\" data-align=\"left\">Teamwork Makes the Defense Work: Comprehensive Vulnerability Defense Resource Allocation<\/td><td class=\"has-text-align-left\" data-align=\"left\">Siyu Liu, Rida Bazzi, Fei Fang, Tiffany Bao<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">45<\/td><td class=\"has-text-align-left\" data-align=\"left\">Game Theory with Simulation in the Presence of Unpredictable Randomisation<\/td><td class=\"has-text-align-left\" data-align=\"left\">Vojtech Kovarik, Nathaniel Sauerberg, Lewis Hammond, Vincent Conitzer<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1377<\/td><td class=\"has-text-align-left\" data-align=\"left\">Byzantine Game Theory: Sun Tzu&#8217;s Boxes<\/td><td class=\"has-text-align-left\" data-align=\"left\">Andrei Constantinescu, Roger Wattenhofer<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">662<\/td><td class=\"has-text-align-left\" data-align=\"left\">Global Behavior of Learning Dynamics in Zero-Sum Games with Memory Asymmetry<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yuma Fujimoto, Kaito Ariu, Kenshi Abe<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">89<\/td><td class=\"has-text-align-left\" data-align=\"left\">Learning in Games with Progressive Hiding<\/td><td class=\"has-text-align-left\" data-align=\"left\">Benjamin Heymann, Marc Lanctot<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1255<\/td><td class=\"has-text-align-left\" data-align=\"left\">Mean Field Correlated Imitation Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Zhiyu Zhao, Chengdong Ma, Qirui Mi, Ning Yang, Xue Yan, Mengyue Yang, Haifeng Zhang, Jun Wang, Yaodong Yang<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">622<\/td><td class=\"has-text-align-left\" data-align=\"left\">Scalable Offline Reinforcement Learning for Mean Field Games<\/td><td class=\"has-text-align-left\" data-align=\"left\">Axel Brunnbauer, Julian Lemmel, Zahra Babaiee, Sophie A. Neubauer, Radu Grosu<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">7<\/td><td class=\"has-text-align-left\" data-align=\"left\">Nash Equilibrium and Learning Dynamics in Three-Player Matching $m$-Action Games<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yuma Fujimoto, Kaito Ariu, Kenshi Abe<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p id=\"PS5-LEARN\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>LEARN<\/strong> (31)<\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"><strong>ID<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">245<\/td><td class=\"has-text-align-left\" data-align=\"left\">EduQate: Generating Adaptive Curricula through RMABs in Education Settings<\/td><td class=\"has-text-align-left\" data-align=\"left\">Sidney Tio, Dexun Li, Pradeep Varakantham<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">391<\/td><td class=\"has-text-align-left\" data-align=\"left\">Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal Health<\/td><td class=\"has-text-align-left\" data-align=\"left\">Arpan Dasgupta, Gagan Jain, Arun Suggala, Karthikeyan Shanmugam, Milind Tambe, Aparna Taneja<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">200<\/td><td class=\"has-text-align-left\" data-align=\"left\">Anytime Fairness Guarantees in Stochastic Combinatorial MABs: A Novel Learning Framework<\/td><td class=\"has-text-align-left\" data-align=\"left\">Subham Pokhriyal, Shweta Jain, Ganesh Ghalme, Vaneet Aggarwal<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">566<\/td><td class=\"has-text-align-left\" data-align=\"left\">Efficient and Optimal Policy Gradient Algorithm for Corrupted Multi-armed Bandits<\/td><td class=\"has-text-align-left\" data-align=\"left\">Jiayuan Liu, Siwei Wang, Zhixuan Fang<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1304<\/td><td class=\"has-text-align-left\" data-align=\"left\">Surprise! Surprise! Learn and Adapt<\/td><td class=\"has-text-align-left\" data-align=\"left\">Huma Samin, Dylan J. Walton, Nelly Bencomo<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1391<\/td><td class=\"has-text-align-left\" data-align=\"left\">Composing Reinforcement Learning Policies, with Formal Guarantees<\/td><td class=\"has-text-align-left\" data-align=\"left\">Florent Delgrange, Guy Avni, Anna Lukina, Christian Schilling, Ann Nowe, Guillermo Perez<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">272<\/td><td class=\"has-text-align-left\" data-align=\"left\">Real-World Testing Matters in Reinforcement Learning for Education<\/td><td class=\"has-text-align-left\" data-align=\"left\">Anna Riedmann, Carlo D&#8217;Eramo, Birgit Lugrin<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">262<\/td><td class=\"has-text-align-left\" data-align=\"left\">Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration<\/td><td class=\"has-text-align-left\" data-align=\"left\">Xingrui Yu, Zhenglin Wan, David Mark Bossens, Yueming Lyu, Qing Guo, Ivor Tsang<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1049<\/td><td class=\"has-text-align-left\" data-align=\"left\">Sea-cret Agents: Maritime Abduction for Region Generation to Expose Dark Vessel Trajectories<\/td><td class=\"has-text-align-left\" data-align=\"left\">Divyagna Bavikadi, Nathaniel Lee, Chad Parvis, Paulo Shakarian<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">819<\/td><td class=\"has-text-align-left\" data-align=\"left\">Multi-Ship Future Interaction Trajectory Prediction via Pre-Initializer Diffusion Model<\/td><td class=\"has-text-align-left\" data-align=\"left\">Kun Ma, Qilong Han, Jingzheng Yao<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">778<\/td><td class=\"has-text-align-left\" data-align=\"left\">GUIDE-CoT: Goal-driven and User-Informed Dynamic Estimation for Pedestrian Trajectory using Chain-of-Thought<\/td><td class=\"has-text-align-left\" data-align=\"left\">Sungsik Kim, Janghyun Baek, Jinkyu Kim, Jaekoo Lee<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">915<\/td><td class=\"has-text-align-left\" data-align=\"left\">On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow<\/td><td class=\"has-text-align-left\" data-align=\"left\">Tonghan Wang, Heng Dong, Yanchen Jiang, David C. Parkes, Milind Tambe<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">729<\/td><td class=\"has-text-align-left\" data-align=\"left\">Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Jingbo Sun, Songjun Tu, Qichao Zhang, Ke Chen, Dongbin Zhao<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1042<\/td><td class=\"has-text-align-left\" data-align=\"left\">Learning to explore when mistakes are not allowed<\/td><td class=\"has-text-align-left\" data-align=\"left\">Charly Pecqueux-Gu\u00e9z\u00e9nec, Stephane Doncieux, Nicolas Perrin-Gilbert<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">267<\/td><td class=\"has-text-align-left\" data-align=\"left\">Stochastic $k$-Submodular Bandits with Full Bandit Feedback<\/td><td class=\"has-text-align-left\" data-align=\"left\">Guanyu Nie, Vaneet Aggarwal, Christopher John Quinn<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">586<\/td><td class=\"has-text-align-left\" data-align=\"left\">Practical Comparisons of Reservoir Topology Performance and Input Distribution in Digital Reservoir Computers<\/td><td class=\"has-text-align-left\" data-align=\"left\">Lewis Thelen, Vikram Ravindra<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">869<\/td><td class=\"has-text-align-left\" data-align=\"left\">Agential AI for Integrated Continual Learning, Deliberative Behavior, and Comprehensible Models<\/td><td class=\"has-text-align-left\" data-align=\"left\">Zeki Doruk Erden, Boi Faltings<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">557<\/td><td class=\"has-text-align-left\" data-align=\"left\">Predictive Improvement through Latent Space Optimisation<\/td><td class=\"has-text-align-left\" data-align=\"left\">Alexander McCaffrey, Eduardo Alonso, Esther Mondragon<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">862<\/td><td class=\"has-text-align-left\" data-align=\"left\">Decision-Making in Evolving Environments: A Bayesian Multi-Agent Bandit Framework<\/td><td class=\"has-text-align-left\" data-align=\"left\">Mohammad ESSA Alsomali, Leandro Soriano Marcolino, Barry Porter, Roberto Rodrigues-Filho<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">253<\/td><td class=\"has-text-align-left\" data-align=\"left\">Negotiated Reasoning: On Provably Addressing Relative Over-Generalization<\/td><td class=\"has-text-align-left\" data-align=\"left\">Junjie Sheng, Wenhao Li, Bo Jin, Hongyuan Zha, Jun Wang, Xiangfeng Wang<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">202<\/td><td class=\"has-text-align-left\" data-align=\"left\">Regret Guarantees for a UCB-based Algorithm for Volatile Combinatorial Bandits<\/td><td class=\"has-text-align-left\" data-align=\"left\">Andra Siva Sai Teja, Kumar Abhishek, Sujit Gujar, Yadati Narahari, Ganesh Ghalme<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1163<\/td><td class=\"has-text-align-left\" data-align=\"left\">Open-World Classification with Bayesian Gaussian Mixture Models<\/td><td class=\"has-text-align-left\" data-align=\"left\">Justin Clarke, Przemyslaw A. Grabowicz, David Jensen<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">263<\/td><td class=\"has-text-align-left\" data-align=\"left\">On the Effective Horizon of Inverse Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yiqing Xu, Finale Doshi-Velez, David Hsu<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1386<\/td><td class=\"has-text-align-left\" data-align=\"left\">Uncertainty-Aware Opponent Modeling for Deep Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Likun Yang, Pei Xu, Shiyue Cao, Yongjian Ren, Xiaotang Chen, Kaiqi Huang<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">149<\/td><td class=\"has-text-align-left\" data-align=\"left\">Goal Recognition via Variational Causality<\/td><td class=\"has-text-align-left\" data-align=\"left\">Jiaqi Wen, Leonardo Rosa Amado<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">213<\/td><td class=\"has-text-align-left\" data-align=\"left\">Hypothesis-Driven Explainable Goal Recognition<\/td><td class=\"has-text-align-left\" data-align=\"left\">Abeer Alshehri, Hissah Alotaibi, Tim Miller, Mor Vered<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">455<\/td><td class=\"has-text-align-left\" data-align=\"left\">Game-Theoretic Goal Recognition in Time-Sensitive Applications<\/td><td class=\"has-text-align-left\" data-align=\"left\">Sara Bernardini, Fabio Fagnani, Santiago Franco<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1338<\/td><td class=\"has-text-align-left\" data-align=\"left\">Towards Efficient Online Goal Recognition through Deep Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Lorenzo Serina, Mattia Chiari, Alfonso Gerevini, Luca Putelli, Ivan Serina<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1319<\/td><td class=\"has-text-align-left\" data-align=\"left\">Beyond Goal Recognition: A Reinforcement Learning-based Approach to Inferring Agent Behaviour<\/td><td class=\"has-text-align-left\" data-align=\"left\">Sheryl Mantik, Michael Dann, Minyi Li, Huong Ha, Julie Porteous<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1070<\/td><td class=\"has-text-align-left\" data-align=\"left\">DECAF: Learning to be Fair in Multi-agent Resource Allocation<\/td><td class=\"has-text-align-left\" data-align=\"left\">Ashwin Kumar, William Yeoh<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1208<\/td><td class=\"has-text-align-left\" data-align=\"left\">\ud835\udefd-DQN: Improving Deep Q-Learning By Evolving the Behavior<\/td><td class=\"has-text-align-left\" data-align=\"left\">Hongming Zhang, Fengshuo Bai, Chenjun Xiao, Chao Gao, Bo Xu, Martin M\u00fcller<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p id=\"PS5-COINE\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>COINE<\/strong> (14)<\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"><strong>ID<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">108<\/td><td class=\"has-text-align-left\" data-align=\"left\">Gricean Norms as a Basis for Effective Collaboration<\/td><td class=\"has-text-align-left\" data-align=\"left\">Fardin Saad, Pradeep K. Murukannaiah, Munindar P. Singh<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">363<\/td><td class=\"has-text-align-left\" data-align=\"left\">On the Complexity of Learning to Cooperate in Populations of Socially Rational Agents<\/td><td class=\"has-text-align-left\" data-align=\"left\">Saptarashmi Bandyopadhyay, Mustafa Mert \u00c7elikok, Robert Loftin<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">29<\/td><td class=\"has-text-align-left\" data-align=\"left\">Enhancing Graph-based Coordination with Evolutionary Algorithms for Episodic Multi-agent Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Kexing Peng, Pengyi Li, Jianye Hao<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">607<\/td><td class=\"has-text-align-left\" data-align=\"left\">Bottom-Up Reputation Promotes Cooperation with Multi-Agent Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Tianyu Ren, Xuan Yao, Yang Li, Xiao-Jun Zeng<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">943<\/td><td class=\"has-text-align-left\" data-align=\"left\">Voter Model Meets Rumour Spreading: A Study of Consensus Protocols on Graphs with Agnostic Nodes<\/td><td class=\"has-text-align-left\" data-align=\"left\">Marcelo Matheus Gauy, Anna Abramishvili, Eduardo Colli, Tiago Madeira, Frederik Mallmann-Trenn, Vin\u00edcius Franco Vasconcelos, David Kohan Marzagao<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1034<\/td><td class=\"has-text-align-left\" data-align=\"left\">Uncertain Machine Ethics Planning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Simon Kolker, Louise A. Dennis, Ramon Fraga Pereira, Mengwei Xu<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">436<\/td><td class=\"has-text-align-left\" data-align=\"left\">Model and Mechanisms of Consent for Responsible Autonomy<\/td><td class=\"has-text-align-left\" data-align=\"left\">Anastasia S. Apeiron, Davide Dell&#8217;Anna, Pradeep K. Murukannaiah, Pinar Yolum<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">351<\/td><td class=\"has-text-align-left\" data-align=\"left\">The Road to Inequality is Paved with Good Intentions<\/td><td class=\"has-text-align-left\" data-align=\"left\">Lihi Idan<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">755<\/td><td class=\"has-text-align-left\" data-align=\"left\">Model of the influence of external signals on the trust of the agent in Multi Agent System<\/td><td class=\"has-text-align-left\" data-align=\"left\">Frederique Lalieu, Tomasz Zurek, Tom van Engers<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">971<\/td><td class=\"has-text-align-left\" data-align=\"left\">Combining Normative Ethics Principles to Learn Prosocial Behaviour<\/td><td class=\"has-text-align-left\" data-align=\"left\">Jessica Woodgate, Nirav Ajmeri<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">547<\/td><td class=\"has-text-align-left\" data-align=\"left\">Reasoning and Planning with Dynamic Social Norms<\/td><td class=\"has-text-align-left\" data-align=\"left\">Taylor Olson, Roberto Salas-Damian, Kenneth Forbus<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">588<\/td><td class=\"has-text-align-left\" data-align=\"left\">Dynamic Reward Sharing to Enhance Learning in the Context of Multiagent Teams<\/td><td class=\"has-text-align-left\" data-align=\"left\">Kyle Tilbury, David Radke<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1104<\/td><td class=\"has-text-align-left\" data-align=\"left\">Symplex: Learning social norm hierarchies by combining autonomous exploration and expert imitation<\/td><td class=\"has-text-align-left\" data-align=\"left\">Oliver Deane, Oliver Ray<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1022<\/td><td class=\"has-text-align-left\" data-align=\"left\">Generalised BDI Planning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Felipe Meneguzzi, Ramon Fraga Pereira, Nir Oren<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p id=\"PS5-ROBOT\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>ROBOT<\/strong> (12)<\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"><strong>ID<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">580<\/td><td class=\"has-text-align-left\" data-align=\"left\">Planning, scheduling, and execution on the Moon: the CADRE technology demonstration mission<\/td><td class=\"has-text-align-left\" data-align=\"left\">Gregg Rabideau, Joseph A. Russino, Andrew Branch, Nihal N. Dhamani, Tiago Vaquero, Steve Chien, Jean-Pierre de la Croix, Federico Rossi<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">567<\/td><td class=\"has-text-align-left\" data-align=\"left\">Adaptive Bi-Level Multi-Robot Task Allocation and Learning under Uncertainty with Temporal Logic Constraints<\/td><td class=\"has-text-align-left\" data-align=\"left\">Xiaoshan Lin, Roberto Tron<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1385<\/td><td class=\"has-text-align-left\" data-align=\"left\">Together We Rise: Optimizing Real-Time Multi-Robot Task Allocation using Coordinated Heterogeneous Plays<\/td><td class=\"has-text-align-left\" data-align=\"left\">Aritra Pal, Anandsingh Chauhan, Mayank Baranwal<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">643<\/td><td class=\"has-text-align-left\" data-align=\"left\">Value Iteration for Learning Concurrently Executable Robotic Control Tasks<\/td><td class=\"has-text-align-left\" data-align=\"left\">Sheikh A. Tahmid, Gennaro Notomista<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">738<\/td><td class=\"has-text-align-left\" data-align=\"left\">Monte Carlo Tree Search with Velocity Obstacles for safe and efficient motion planning in dynamic environments<\/td><td class=\"has-text-align-left\" data-align=\"left\">Lorenzo Bonanni, Daniele Meli, Alberto Castellini, Alessandro Farinelli<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1139<\/td><td class=\"has-text-align-left\" data-align=\"left\">Discovery and Deployment of Emergent Robot Swarm Behaviors via Representation Learning and Real2Sim2Real Transfer<\/td><td class=\"has-text-align-left\" data-align=\"left\">Connor Mattson, Varun Raveendra, Ricardo Vega, Cameron Nowzari, Daniel S. Drew, Daniel S. Brown<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">867<\/td><td class=\"has-text-align-left\" data-align=\"left\">OGS-SLAM: Hybrid ORB-Gaussian Splatting SLAM<\/td><td class=\"has-text-align-left\" data-align=\"left\">Xiaohan Li, Wenxiang Shen, Dong Liu, Jun Wu<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">5<\/td><td class=\"has-text-align-left\" data-align=\"left\">PANDA: Priority-Based Collision Avoidance Framework for Heterogeneous UAVs Navigating in Dense Airspace<\/td><td class=\"has-text-align-left\" data-align=\"left\">Gamdeep Singh, Jaskirat Singh, Sujit PB<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">906<\/td><td class=\"has-text-align-left\" data-align=\"left\">Distributed Adaptive Macroscopic Ensemble Task Allocation of Heterogeneous Robot Teams in Dynamic Environments<\/td><td class=\"has-text-align-left\" data-align=\"left\">Victoria Edwards, M. Ani Hsieh<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">747<\/td><td class=\"has-text-align-left\" data-align=\"left\">Multi-Agent Pickup and Delivery with Batteries<\/td><td class=\"has-text-align-left\" data-align=\"left\">Marcello Bavaro, Francesco Amigoni<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">452<\/td><td class=\"has-text-align-left\" data-align=\"left\">Compensating latent nonlinear dynamics for practical consensus control<\/td><td class=\"has-text-align-left\" data-align=\"left\">Krzysztof Kowalczyk, Dominik Baumann, Cristian R. Rojas, Pawe\u0142 Wachel<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">362<\/td><td class=\"has-text-align-left\" data-align=\"left\">Enhancing Robot Navigation Policies with Task-Specific Uncertainty Management<\/td><td class=\"has-text-align-left\" data-align=\"left\">Gokul Puthumanaillam, Paulo Padrao, Jose Fuentes, Leonardo Bobadilla, Melkior Ornik<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"PS6\"><strong>Poster Session 6 (PS6)<\/strong>: May 23 Afternoon<\/h3>\n\n\n\n<p><strong>Date &amp; Time:<\/strong> Friday, May 23, 3:15PM &#8211; 4:00PM<\/p>\n\n\n\n<p><strong>Total number of posters: <\/strong>63<\/p>\n\n\n\n<p id=\"PS6-GTEP\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>GTEP<\/strong> (19)<br><\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"><strong>ID<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">727<\/td><td class=\"has-text-align-left\" data-align=\"left\">Asymptotic Existence of Class Envy-free Matchings<\/td><td class=\"has-text-align-left\" data-align=\"left\">Tomohiko Yokoyama, Ayumi Igarashi<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">907<\/td><td class=\"has-text-align-left\" data-align=\"left\">Computing Efficient and Envy-Free Allocations under Dichotomous Preferences using SAT<\/td><td class=\"has-text-align-left\" data-align=\"left\">Ari Conati, Andreas Niskanen, Ronald de Haan, Matti J\u00e4rvisalo<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">28<\/td><td class=\"has-text-align-left\" data-align=\"left\">Game-Theoretically Secure Distributed Protocols for Fair Allocation in Coalitional Games<\/td><td class=\"has-text-align-left\" data-align=\"left\">T-H. Hubert Chan, Qipeng Kuang, Quan Xue<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">24<\/td><td class=\"has-text-align-left\" data-align=\"left\">Order Symmetry: A New Fairness Criterion for Assignment Mechanisms<\/td><td class=\"has-text-align-left\" data-align=\"left\">Rupert Freeman, Geoffrey Pritchard, Mark C. Wilson<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">174<\/td><td class=\"has-text-align-left\" data-align=\"left\">Probably Correct Optimal Stable Matching for Two-Sided Market Under Uncertainty<\/td><td class=\"has-text-align-left\" data-align=\"left\">Andreas Athanasopoulos, Anne-Marie George, Christos Dimitrakakis<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1062<\/td><td class=\"has-text-align-left\" data-align=\"left\">On the Gale-Shapley Algorithm for Stable Matchings with a Partial Honesty Nash Refinement<\/td><td class=\"has-text-align-left\" data-align=\"left\">James Patrick Bailey, Craig Tovey<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">31<\/td><td class=\"has-text-align-left\" data-align=\"left\">Approximating One-Sided and Two-Sided Nash Social Welfare With Capacities<\/td><td class=\"has-text-align-left\" data-align=\"left\">Salil Gokhale, Harshul Sagar, Rohit Vaish, Jatin Yadav<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">394<\/td><td class=\"has-text-align-left\" data-align=\"left\">Harmonious Balanced Partitioning of a Network of Agents<\/td><td class=\"has-text-align-left\" data-align=\"left\">Pulkit Agarwal, Harshvardhan Agarwal, Vaibhav Raj, Swaprava Nath<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">521<\/td><td class=\"has-text-align-left\" data-align=\"left\">Timed Obstruction Logic: A Timed Approach to Dynamic Game Reasoning<\/td><td class=\"has-text-align-left\" data-align=\"left\">James Ortiz, Vadim Malvone, Jean Leneutre<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1396<\/td><td class=\"has-text-align-left\" data-align=\"left\">Changing the Rules of the Game: Reasoning About Dynamic Phenomena in Multi-Agent Systems<\/td><td class=\"has-text-align-left\" data-align=\"left\">Rustam Galimullin, Maksim Gladyshev, Munyque Mittelmann, Nima Motamed<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">530<\/td><td class=\"has-text-align-left\" data-align=\"left\">Rational Capability in Concurrent Games<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yinfeng Li, Emiliano Lorini, Munyque Mittelmann<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">169<\/td><td class=\"has-text-align-left\" data-align=\"left\">Causes and Strategies in Multiagent Systems<\/td><td class=\"has-text-align-left\" data-align=\"left\">Sylvia S. Kerkhove, Natasha Alechina, Mehdi Dastani<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">937<\/td><td class=\"has-text-align-left\" data-align=\"left\">Bidding Games on Markov Decision Processes with Quantitative Reachability Objectives<\/td><td class=\"has-text-align-left\" data-align=\"left\">Guy Avni, Martin Kure\u010dka, Kaushik Mallik, Petr Novotn\u00fd, Suman Sadhukhan<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1109<\/td><td class=\"has-text-align-left\" data-align=\"left\">Game of Thoughts: Iterative Reasoning in Game-Theoretic Domains with Large Language Models<\/td><td class=\"has-text-align-left\" data-align=\"left\">Benjamin Kempinski, Ian Gemp, Kate Larson, Yoram Bachrach, Marc Lanctot, Tal Kachman<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">837<\/td><td class=\"has-text-align-left\" data-align=\"left\">From Natural Language to Extensive-Form Game Representations<\/td><td class=\"has-text-align-left\" data-align=\"left\">Shilong Deng, Yongzhao Wang, Rahul Savani<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">500<\/td><td class=\"has-text-align-left\" data-align=\"left\">Tackling Temporal Deontic Challenges with Equilibrium Logic<\/td><td class=\"has-text-align-left\" data-align=\"left\">Davide Sold\u00e0, Pedro Cabalar, Agata Ciabattoni, Emery A. Neufeld<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">134<\/td><td class=\"has-text-align-left\" data-align=\"left\">Neighborhood Stability in Assignments on Graphs<\/td><td class=\"has-text-align-left\" data-align=\"left\">Haris Aziz, Grzegorz Lisowski, Mashbat Suzuki, Jeremy Vollen<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">433<\/td><td class=\"has-text-align-left\" data-align=\"left\">Egalitarianism in Online Coalition Formation<\/td><td class=\"has-text-align-left\" data-align=\"left\">Saar Cohen, Noa Agmon<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1210<\/td><td class=\"has-text-align-left\" data-align=\"left\">Matching Markets with Chores<\/td><td class=\"has-text-align-left\" data-align=\"left\">Thorben Tr\u00f6bst, Jugal Garg, Vijay Vazirani<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p id=\"PS6-LEARN\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>LEARN<\/strong> (30)<br><\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"><strong>ID<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">973<\/td><td class=\"has-text-align-left\" data-align=\"left\">Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations<\/td><td class=\"has-text-align-left\" data-align=\"left\">Sangwon Seo, Vaibhav V. Unhelkar<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">441<\/td><td class=\"has-text-align-left\" data-align=\"left\">A Minimax-Bayes Approach to Ad Hoc Teamwork<\/td><td class=\"has-text-align-left\" data-align=\"left\">Victor Villin, Thomas Kleine Buening, Christos Dimitrakakis<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">43<\/td><td class=\"has-text-align-left\" data-align=\"left\">ReSCOM: Reward-Shaped Curriculum for Efficient Multi-Agent Communication Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Xinghai Wei, Tingting Yuan, Jie Yuan, Dongxiao Liu, Xiaoming Fu<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">331<\/td><td class=\"has-text-align-left\" data-align=\"left\">Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Bidipta Sarkar, Warren Xia, Karen Liu, Dorsa Sadigh<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">442<\/td><td class=\"has-text-align-left\" data-align=\"left\">Networked Agents in the Dark: Team Value Learning under Partial Observability<\/td><td class=\"has-text-align-left\" data-align=\"left\">Guilherme S. Varela, Alberto Sardinha, Francisco S. Melo<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">207<\/td><td class=\"has-text-align-left\" data-align=\"left\">Nucleolus Credit Assignment for Effective Coalitions in Multi-agent Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yugu Li, Zehong Cao, Jianglin Qiao, Siyi Hu<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">468<\/td><td class=\"has-text-align-left\" data-align=\"left\">Learning with Limited Shared Information in Multi-agent Multi-armed Bandit<\/td><td class=\"has-text-align-left\" data-align=\"left\">Junning Shao, Siwei Wang, Zhixuan Fang<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">201<\/td><td class=\"has-text-align-left\" data-align=\"left\">Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness<\/td><td class=\"has-text-align-left\" data-align=\"left\">Piyushi Manupriya, Himanshu, SakethaNath Jagarlapudi, Ganesh Ghalme<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">98<\/td><td class=\"has-text-align-left\" data-align=\"left\">MacLight: Multi-scene Aggregation Convolutional Learning for Traffic Signal Control<\/td><td class=\"has-text-align-left\" data-align=\"left\">Sunbowen Lee, Hongqin Lyu, Yicheng Gong, Sun Yingying, Chao Deng<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">375<\/td><td class=\"has-text-align-left\" data-align=\"left\">FGLight: Learning neighbor-level information for Traffic Signal Control<\/td><td class=\"has-text-align-left\" data-align=\"left\">Hang Xiao, Huale Li, Shuhan Qi, Jiajia Zhang, DingZhong Cai<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">966<\/td><td class=\"has-text-align-left\" data-align=\"left\">Reinforcement Learning-based Approach for Vehicle-to-Building Charging with Heterogeneous Agents and Long Term Rewards<\/td><td class=\"has-text-align-left\" data-align=\"left\">Fangqi Liu, Rishav Sen, Jose Paolo Talusan, Ava Pettet, Aaron Kandel, Yoshinori Suzue, Ayan Mukhopadhyay, Abhishek Dubey<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">712<\/td><td class=\"has-text-align-left\" data-align=\"left\">Tackling Sparsity in Designated Driver Dispatch with Multi-Agent Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Jiaxuan Jiang, Ling Pan, Lin Zhou, Longbo Huang, Zhixuan Fang<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">338<\/td><td class=\"has-text-align-left\" data-align=\"left\">Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics<\/td><td class=\"has-text-align-left\" data-align=\"left\">Somnath Hazra, Pallab Dasgupta, Soumyajit Dey<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">63<\/td><td class=\"has-text-align-left\" data-align=\"left\">Multi-agent reinforcement learning in the all-or-nothing public goods game on networks<\/td><td class=\"has-text-align-left\" data-align=\"left\">Benedikt Valentin Meylahn<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1374<\/td><td class=\"has-text-align-left\" data-align=\"left\">MOSMAC: A Multi-agent Reinforcement Learning Benchmark on Sequential Multi-Objective Tasks<\/td><td class=\"has-text-align-left\" data-align=\"left\">Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">644<\/td><td class=\"has-text-align-left\" data-align=\"left\">FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation<\/td><td class=\"has-text-align-left\" data-align=\"left\">Wenzheng Jiang, Ji Wang, Xiongtao Zhang, Weidong Bao, Cheston Tan, Flint Xiaofeng Fan<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">949<\/td><td class=\"has-text-align-left\" data-align=\"left\">Trading-off Accuracy and Communication Cost in Federated Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Mattia Jacopo Villani, Emanuele Natale, Frederik Mallmann-Trenn<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1090<\/td><td class=\"has-text-align-left\" data-align=\"left\">Diverse Heterogeneous Graph Conditioned Diffusion for Multi-Agent Teaming<\/td><td class=\"has-text-align-left\" data-align=\"left\">Luis Manuel Pimentel, Sean Charles Ye, James Ellis Grant Pagan, Matthew Gombolay<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">505<\/td><td class=\"has-text-align-left\" data-align=\"left\">Reducing Variance Caused by Communication in Decentralized Multi-agent Deep Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Changxi Zhu, Mehdi Dastani, Shihan Wang<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1154<\/td><td class=\"has-text-align-left\" data-align=\"left\">Evaluating and Improving Graph-based Explanation Methods for Multi-Agent Coordination<\/td><td class=\"has-text-align-left\" data-align=\"left\">Siva Kailas, Shalin Jain, Harish Ravichandar<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">978<\/td><td class=\"has-text-align-left\" data-align=\"left\">Towards Fair and Efficient Policy Learning in Cooperative Multi-Agent Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Umer Siddique, Peilang Li, Yongcan Cao<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">722<\/td><td class=\"has-text-align-left\" data-align=\"left\">SFedRec: A Federated Learning Framework for Dynamic Session-based Recommendation<\/td><td class=\"has-text-align-left\" data-align=\"left\">Hexiao Zhang, Yanni Tang, Jiamou Liu, Wu Chen<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">732<\/td><td class=\"has-text-align-left\" data-align=\"left\">Efficient Training of Generalizable Visuomotor Policies via Control-Aware Augmentation<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yinuo Zhao, Kun Wu, Tianjiao Yi, Zhiyuan Xu, Zhengping Che, Chi Harold Liu, Jian Tang<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">317<\/td><td class=\"has-text-align-left\" data-align=\"left\">CADP: Towards Better Centralized Learning for Decentralized Execution in MARL<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yihe Zhou, Shunyu Liu, Yunpeng Qing, Tongya Zheng, Kaixuan Chen, Jie Song, Mingli Song<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">826<\/td><td class=\"has-text-align-left\" data-align=\"left\">Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors<\/td><td class=\"has-text-align-left\" data-align=\"left\">Lang Feng, Jiahao Lin, Dong Xing, Li Zhang, De Ma, Gang Pan<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1395<\/td><td class=\"has-text-align-left\" data-align=\"left\">A Minimalist Approach to Augmentation-based Self-supervised Representation Learning for On-policy Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Nasik Muhammad Nafi, William Hsu<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">565<\/td><td class=\"has-text-align-left\" data-align=\"left\">Knowledge Transfer in Model-Based Reinforcement Learning Agents for Efficient Multi-Task Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Dmytro Kuzmenko, Nadiya Shvai<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">17<\/td><td class=\"has-text-align-left\" data-align=\"left\">Dynamic Option Creation in Option-Critic Reinforcement Learning<\/td><td class=\"has-text-align-left\" data-align=\"left\">Mateus Begnini Melchiades, Gabriel de Oliveira Ramos, Bruno Castro da Silva<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1384<\/td><td class=\"has-text-align-left\" data-align=\"left\">Context Adaptive Memory-Efficient LLM Inference for Edge Multi-Agent Systems<\/td><td class=\"has-text-align-left\" data-align=\"left\">Hamza Mohammed, Sai Chand Boyapati, Hang Yin<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">782<\/td><td class=\"has-text-align-left\" data-align=\"left\">Integrating Large Language Models with Reinforcement Learning for Generalization in Strategic Card Games<\/td><td class=\"has-text-align-left\" data-align=\"left\">Wannian Xia, Meng Fang, Zihao Guo, Yali Du, Bo Xu<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p id=\"PS6-COINE_EMAS\"><\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>COINE<\/strong>\/<strong>EMAS<\/strong> (14)<\/summary>\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"><strong>ID<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Title<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Authors<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">1107<\/td><td class=\"has-text-align-left\" data-align=\"left\">Reputation-Filtered Reward Reshaping: Encouraging Cooperation in High Dimensional Semi-Cooperative Multi-agent Settings<\/td><td class=\"has-text-align-left\" data-align=\"left\">Hassan Raissouni, Wissal Bekhti, Btissam El Khamlichi, Amal Seghrouchni<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1351<\/td><td class=\"has-text-align-left\" data-align=\"left\">The effect of agent-based feedback on prosociality in social dilemmas<\/td><td class=\"has-text-align-left\" data-align=\"left\">Jennifer Renoux, Filipa Correia, Joana Campos, Lucas Morillo-Mendez, Neziha Akalin, Fernando P. Santos, Ana Paiva<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">798<\/td><td class=\"has-text-align-left\" data-align=\"left\">Predictability Awareness for Efficient and Robust Multi-Agent Coordination<\/td><td class=\"has-text-align-left\" data-align=\"left\">Rom\u221a\u00b0n Chiva Gil, Daniel Jarne Ornia, Khaled A. Mustafa, Javier Alonso-Mora<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">301<\/td><td class=\"has-text-align-left\" data-align=\"left\">Near-Linear Time Leader Election in Multiagent Networks<\/td><td class=\"has-text-align-left\" data-align=\"left\">Ajay Kshemkalyani, Manish Kumar, Anisur Rahaman Molla, Gokarna Sharma<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1038<\/td><td class=\"has-text-align-left\" data-align=\"left\">Robustness of Epistemic Gossip Protocols Against Data Loss<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yoshikatsu Kobayashi, Koji Hasebe<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1390<\/td><td class=\"has-text-align-left\" data-align=\"left\">Responsible Uplift Modeling<\/td><td class=\"has-text-align-left\" data-align=\"left\">Lihi Idan, Ming Li<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">47<\/td><td class=\"has-text-align-left\" data-align=\"left\">Azorus: Commitments over Protocols for BDI Agents<\/td><td class=\"has-text-align-left\" data-align=\"left\">Amit K. Chopra, Matteo Baldoni, Samuel H. Christie V, Munindar P. Singh<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">499<\/td><td class=\"has-text-align-left\" data-align=\"left\">The Many Challenges of Human-Like Agents in Virtual Game Environments<\/td><td class=\"has-text-align-left\" data-align=\"left\">Maciej \u015awiechowski, Dominik Slezak<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">992<\/td><td class=\"has-text-align-left\" data-align=\"left\">Large Language Models for Virtual Human Gesture Selection<\/td><td class=\"has-text-align-left\" data-align=\"left\">Parisa Ghanad Torshizi, Laura B. Hensel, Ari Shapiro, Stacy Marsella<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">1153<\/td><td class=\"has-text-align-left\" data-align=\"left\">On Some Fundamental Problems for Multi-Agent Systems Over Multilayer Networks<\/td><td class=\"has-text-align-left\" data-align=\"left\">Daniel Rosenkrantz, Madhav Marathe, Zirou Qiu, S. S. Ravi, Richard Stearns<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">929<\/td><td class=\"has-text-align-left\" data-align=\"left\">Practical Abstractions for Model Checking Continuous-Time Multi-Agent Systems<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yan Kim, Wojciech Jamroga, Wojciech Penczek, Laure Petrucci<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">311<\/td><td class=\"has-text-align-left\" data-align=\"left\">IBGP: Imperfect Byzantine Generals Problem for Zero-Shot Robustness in Communicative Multi-Agent Systems<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yihuan Mao, Yipeng Kang, Peilun Li, Ning Zhang, Wei Xu, Chongjie Zhang<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">113<\/td><td class=\"has-text-align-left\" data-align=\"left\">Local Anomaly Detection with Partial Observation in Multi-agent Systems as a Data Matching Game<\/td><td class=\"has-text-align-left\" data-align=\"left\">Zixin Ye, Christopher Leckie, Tansu Alpcan<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">75<\/td><td class=\"has-text-align-left\" data-align=\"left\">Efficient Model Checking with Semantically-Equivalent Models for vGOAL<\/td><td class=\"has-text-align-left\" data-align=\"left\">Yi Yang, Tom Holvoet<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Poster Schedule The program overview is available here. AAMAS25 has 6 poster sessions, 2 sessions per day of the main conference (May 21 &#8211; 23),&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":116,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/aamas2025.org\/index.php\/wp-json\/wp\/v2\/pages\/120"}],"collection":[{"href":"https:\/\/aamas2025.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/aamas2025.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/aamas2025.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aamas2025.org\/index.php\/wp-json\/wp\/v2\/comments?post=120"}],"version-history":[{"count":137,"href":"https:\/\/aamas2025.org\/index.php\/wp-json\/wp\/v2\/pages\/120\/revisions"}],"predecessor-version":[{"id":2747,"href":"https:\/\/aamas2025.org\/index.php\/wp-json\/wp\/v2\/pages\/120\/revisions\/2747"}],"up":[{"embeddable":true,"href":"https:\/\/aamas2025.org\/index.php\/wp-json\/wp\/v2\/pages\/116"}],"wp:attachment":[{"href":"https:\/\/aamas2025.org\/index.php\/wp-json\/wp\/v2\/media?parent=120"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}