{"id":124,"date":"2024-12-28T21:40:31","date_gmt":"2024-12-29T02:40:31","guid":{"rendered":"https:\/\/aamas2025.org\/?page_id=124"},"modified":"2025-05-25T01:27:29","modified_gmt":"2025-05-25T05:27:29","slug":"accepted-papers","status":"publish","type":"page","link":"https:\/\/aamas2025.org\/index.php\/conference\/program\/accepted-papers\/","title":{"rendered":"Accepted Papers (with video links)"},"content":{"rendered":"\n

Accepted Full Papers (Main Technical Track)<\/h2>\n\n\n\n

Some papers have links to author-made short video presentations (typically about 5 minutes long) in the last column.<\/p>\n\n\n\n

ID<\/strong><\/th>Title<\/strong><\/th>Authors<\/strong><\/th>Video<\/strong><\/th><\/tr><\/thead>
4<\/td>Logic of Knowledge and Cognitive Ability<\/td>Jia Tao, Xinran Zhang<\/td>Link<\/a><\/td><\/tr>
6<\/td>Enhancing Offline Reinforcement Learning with Curriculum Learning-Based Trajectory Valuation<\/td>Amir Abolfazli, Zekun Song, Avishek Anand, Wolfgang Nejdl<\/td><\/td><\/tr>
14<\/td>Automatic Verification of Linear Integer Planning Programs via Forgetting in LIAUPF<\/td>Liangda Fang, Shikang Chen, Xiaoman Wang, Xiaoyou Lin, Chenyi Zhang, Qingliang Chen, Quanlong Guan, Kaile Su<\/td><\/td><\/tr>
24<\/td>Order Symmetry: A New Fairness Criterion for Assignment Mechanisms<\/td>Rupert Freeman, Geoffrey Pritchard, Mark C. Wilson<\/td><\/td><\/tr>
27<\/td>The Strong Core of Housing Markets with Partial Order Preferences<\/td>Ildik\u00f3 Schlotter, Lydia Mirabel Mendoza-Cadena<\/td><\/td><\/tr>
28<\/td>Game-Theoretically Secure Distributed Protocols for Fair Allocation in Coalitional Games<\/td>T-H. Hubert Chan, Qipeng Kuang, Quan Xue<\/td><\/td><\/tr>
29<\/td>Enhancing Graph-based Coordination with Evolutionary Algorithms for Episodic Multi-agent Reinforcement Learning<\/td>Kexing Peng, Pengyi Li, Jianye Hao<\/td><\/td><\/tr>
31<\/td>Approximating One-Sided and Two-Sided Nash Social Welfare With Capacities<\/td>Salil Gokhale, Harshul Sagar, Rohit Vaish, Jatin Yadav<\/td><\/td><\/tr>
37<\/td>Impact Measures for Gradual Argumentation Semantics<\/td>Caren Al Anaissy, J\u00e9r\u00f4me Delobelle, Srdjan Vesic, Bruno Yun<\/td><\/td><\/tr>
43<\/td>ReSCOM: Reward-Shaped Curriculum for Efficient Multi-Agent Communication Learning<\/td>Xinghai Wei, Tingting Yuan, Jie Yuan, Dongxiao Liu, Xiaoming Fu<\/td>Link<\/a><\/td><\/tr>
45<\/td>Game Theory with Simulation in the Presence of Unpredictable Randomisation<\/td>Vojtech Kovarik, Nathaniel Sauerberg, Lewis Hammond, Vincent Conitzer<\/td><\/td><\/tr>
47<\/td>Azorus: Commitments over Protocols for BDI Agents<\/td>Amit K. Chopra, Matteo Baldoni, Samuel H. Christie V, Munindar P. Singh<\/td>Link<\/a><\/td><\/tr>
63<\/td>Multi-agent reinforcement learning in the all-or-nothing public goods game on networks<\/td>Benedikt Valentin Meylahn<\/td><\/td><\/tr>
67<\/td>Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model<\/td>Songjun Tu, Jingbo Sun, Qichao Zhang, Xiangyuan Lan, Dongbin Zhao<\/td><\/td><\/tr>
73<\/td>To Spend or to Gain: Online Learning in Repeated Karma Auctions<\/td>Damien Berriaud, Ezzat Elokda, Devansh Jalota, Emilio Frazzoli, Marco Pavone, Florian Dorfler<\/td>Link<\/a><\/td><\/tr>
74<\/td>Offline Goal-Conditioned Reinforcement Learning with Elastic-Subgoal Diffused Policy Learning<\/td>Yaocheng Zhang, Yuanheng Zhu, Yuqian Fu, Songjun Tu, Dongbin Zhao<\/td><\/td><\/tr>
89<\/td>Learning in Games with Progressive Hiding<\/td>Benjamin Heymann, Marc Lanctot<\/td><\/td><\/tr>
91<\/td>On the Power of Temporal Locality on Online Routing Problems<\/td>Swapnil Guragain, Gokarna Sharma<\/td><\/td><\/tr>
98<\/td>MacLight: Multi-scene Aggregation Convolutional Learning for Traffic Signal Control<\/td>Sunbowen Lee, Hongqin Lyu, Yicheng Gong, Sun Yingying, Chao Deng<\/td><\/td><\/tr>
108<\/td>Gricean Norms as a Basis for Effective Collaboration<\/td>Fardin Saad, Pradeep K. Murukannaiah, Munindar P. Singh<\/td><\/td><\/tr>
111<\/td>AdaCred: Adaptive Causal Decision Transformers with Feature Crediting<\/td>Hemant Kumawat, Saibal Mukhopadhyay<\/td><\/td><\/tr>
112<\/td>Candidate nomination for Condorcet-consistent voting rules<\/td>Ildik\u00f3 Schlotter, Katar\u00edna Cechl\u00e1rov\u00e1<\/td><\/td><\/tr>
116<\/td>Adaptive Episode Length Adjustment for Multi-agent Reinforcement Learning<\/td>Byunghyun Yoo, Younghwan Shin, Hyunwoo Kim, Euisok Chung, Jeongmin Yang<\/td><\/td><\/tr>
119<\/td>On the limits of agency in agent-based models<\/td>Ayush Chopra, Shashank Kumar, Nurullah Giray Kuru, Ramesh Raskar, Arnau Quera-Bofarull<\/td><\/td><\/tr>
120<\/td>Safe Pareto Improvements for Expected Utility Maximizers in Program Games<\/td>Anthony Digiovanni, Jesse Clifton, Nicolas Mac\u00e9<\/td><\/td><\/tr>
129<\/td>FLIGHT: Facility Location Integrating Generalized, Holistic Theory of Welfare<\/td>Avyukta Manjunatha Vummintala, Shivam Gupta, Shweta Jain, Sujit Gujar<\/td><\/td><\/tr>
146<\/td>On the Fairness of Additive Welfarist Rules<\/td>Karen Frilya Celine, Warut Suksompong, Sheung Man Yuen<\/td><\/td><\/tr>
149<\/td>Goal Recognition via Variational Causality<\/td>Jiaqi Wen, Leonardo Rosa Amado<\/td><\/td><\/tr>
154<\/td>Boosting Sortition via Proportional Representation<\/td>Soroush Ebadian, Evi Micha<\/td><\/td><\/tr>
159<\/td>Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer<\/td>Yaodong Yang, Guangyong Chen, Hongyao Tang, Furui Liu, Danruo Deng, Pheng-Ann Heng<\/td><\/td><\/tr>
160<\/td>EconoJax: A Fast & Scalable Economic Simulation in JAX<\/td>Koen Ponse, Aske Plaat, Niki Van Stein, Thomas M. Moerland<\/td><\/td><\/tr>
162<\/td>Tighter Value-Function Approximations for POMDPs<\/td>Merlijn Krale, Wietze Koops, Sebastian Junges, Thiago D. Sim\u00e3o, Nils Jansen<\/td><\/td><\/tr>
165<\/td>Incentivizing Truth Exploration and Honest Reporting: A Contract Design Approach<\/td>Yuming Shao, Zhixuan Fang<\/td><\/td><\/tr>
167<\/td>Personality-Driven Decision Making in LLM-Based Autonomous Agents<\/td>Lewis Newsham, Daniel Prince<\/td><\/td><\/tr>
169<\/td>Causes and Strategies in Multiagent Systems<\/td>Sylvia S. Kerkhove, Natasha Alechina, Mehdi Dastani<\/td><\/td><\/tr>
170<\/td>Learning Graph Representation of Agent Diffusers<\/td>Youcef Djenouri, Nassim Belmecheri, Tomasz Pawel Michalak, Jan Dubi\u0144ski, Ahmed Nabil Belbachir, Anis Yazidi<\/td><\/td><\/tr>
174<\/td>Probably Correct Optimal Stable Matching for Two-Sided Market Under Uncertainty<\/td>Andreas Athanasopoulos, Anne-Marie George, Christos Dimitrakakis<\/td><\/td><\/tr>
187<\/td>ACORN: Acyclic Coordination with Reachability Network to Reduce Communication Redundancy in Multi-Agent Systems<\/td>Xie Yi, Ziqing Zhou, Chun Ouyang, Siao Liu, Linqiang Hu, Zhongxue Gan<\/td><\/td><\/tr>
200<\/td>Anytime Fairness Guarantees in Stochastic Combinatorial MABs: A Novel Learning Framework<\/td>Subham Pokhriyal, Shweta Jain, Ganesh Ghalme, Vaneet Aggarwal<\/td><\/td><\/tr>
201<\/td>Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness<\/td>Piyushi Manupriya, Himanshu, Sakethanath Jagarlapudi, Ganesh Ghalme<\/td><\/td><\/tr>
207<\/td>Nucleolus Credit Assignment for Effective Coalitions in Multi-agent Reinforcement Learning<\/td>Yugu Li, Zehong Cao, Jianglin Qiao, Siyi Hu<\/td><\/td><\/tr>
212<\/td>Teamwork Makes the Defense Work: Comprehensive Vulnerability Defense Resource Allocation<\/td>Siyu Liu, Rida Bazzi, Fei Fang, Tiffany Bao<\/td><\/td><\/tr>
213<\/td>Hypothesis-Driven Explainable Goal Recognition<\/td>Abeer Alshehri, Hissah Alotaibi, Tim Miller, Mor Vered<\/td><\/td><\/tr>
224<\/td>Factorised Active Inference for Strategic Multi-Agent Interactions<\/td>Jaime Ruiz-Serra, Patrick Sweeney, Michael Harre<\/td><\/td><\/tr>
239<\/td>Self-Supervised Multi-Agent Diversity with Nonparametric Entropy Maximization<\/td>Tianxu Li, Kun Zhu<\/td><\/td><\/tr>
243<\/td>Human-Agent Coordination in Games under Incomplete Information via Multi-Step Intent<\/td>Shenghui Chen, Ruihan Zhao, Sandeep P. Chinchali, Ufuk Topcu<\/td>Link<\/a><\/td><\/tr>
244<\/td>MAGNET: A Multi-Agent Graph Neural Network for Efficient Bipartite Task Assignment<\/td>Donald Loveland, James Usevitch, Zachary Serlin, Danai Koutra, Rajmonda S. Caceres<\/td><\/td><\/tr>
245<\/td>EduQate: Generating Adaptive Curricula through RMABs in Education Settings<\/td>Sidney Tio, Dexun Li, Pradeep Varakantham<\/td><\/td><\/tr>
262<\/td>Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration<\/td>Xingrui Yu, Zhenglin Wan, David Mark Bossens, Yueming Lyu, Qing Guo, Ivor Tsang<\/td><\/td><\/tr>
263<\/td>On the Effective Horizon of Inverse Reinforcement Learning<\/td>Yiqing Xu, Finale Doshi-Velez, David Hsu<\/td><\/td><\/tr>
265<\/td>Algorithmically Fair Maximization of Multiple Submodular Objective Functions<\/td>Georgios Amanatidis, Georgios Birmpas, Philip Lazos, Stefano Leonardi, Rebecca Reiffenh\u00e4user<\/td><\/td><\/tr>
272<\/td>Real-World Testing Matters in Reinforcement Learning for Education<\/td>Anna Riedmann, Carlo D\u2019Eramo, Birgit Lugrin<\/td><\/td><\/tr>
277<\/td>FORM: Learning Expressive and Transferable First-Order Logic Reward Machines<\/td>Leo Ardon, Daniel Furelos-Blanco, Roko Para\u0107, Alessandra Russo<\/td><\/td><\/tr>
279<\/td>Higher-Order Belief in Incomplete Information MAIDs<\/td>Jack Foxabbott, Rohan Subramani, Francis Rhys Ward<\/td><\/td><\/tr>
282<\/td>Robin Hood Reachability Bidding Games<\/td>Shaull Almagor, Guy Avni, Neta Dafni<\/td><\/td><\/tr>
284<\/td>Approximation Algorithms for Connected Maximum Coverage<\/td>Gianlorenzo D\u2019Angelo, Esmaeil Delfaraz<\/td><\/td><\/tr>
297<\/td>Simulating and Evaluating Generative Modeling and Collaborative Filtering in Complex Social Networks<\/td>Wen Dong, Fairul Mohd-Zaid<\/td>Link<\/a><\/td><\/tr>
301<\/td>Near-Linear Time Leader Election in Multiagent Networks<\/td>Ajay Kshemkalyani, Manish Kumar, Anisur Rahaman Molla, Gokarna Sharma<\/td><\/td><\/tr>
302<\/td>Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning<\/td>Willem R\u00f6pke, Mathieu Reymond, Patrick Mannion, Diederik M Roijers, Ann Now\u00e9, Roxana R\u0103dulescu<\/td><\/td><\/tr>
303<\/td>Curiosity-Driven Partner Selection Accelerates Convention Emergence in Language Games<\/td>Chin-Wing Leung, Paolo Turrini, Ann Now\u00e9<\/td>Link<\/a><\/td><\/tr>
307<\/td>Fast UCB-type algorithms for stochastic bandits with heavy and super heavy symmetric noise<\/td>Yuriy Dorn, Aleksandr Katrutsa, Ilgam Latypov, Pudovikov Andrey<\/td><\/td><\/tr>
308<\/td>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>Ohenewa Bediako Akuffo, Birgit Lugrin<\/td><\/td><\/tr>
314<\/td>Soft Condorcet Optimization for Ranking of General Agents<\/td>Marc Lanctot, Kate Larson, Michael Kaisers, Quentin Berthet, Ian Gemp, Manfred Diaz, Roberto-Rafael Maura-Rivero, Yoram Bachrach, Anna Koop, Doina Precup<\/td>Link<\/a><\/td><\/tr>
330<\/td>Computing Efficient Envy-Free Partial Allocations of Indivisible Goods<\/td>Robert Bredereck, Andrzej Kaczmarczyk, Junjie Luo, Bin Sun<\/td>Link<\/a><\/td><\/tr>
331<\/td>Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning<\/td>Bidipta Sarkar, Warren Xia, Karen Liu, Dorsa Sadigh<\/td><\/td><\/tr>
334<\/td>Welfare Approximation in Additively Separable Hedonic Games<\/td>Martin Bullinger, Vaggos Chatziafratis, Parnian Shahkar<\/td><\/td><\/tr>
335<\/td>Fairly Allocating Goods in Parallel<\/td>Rohan Garg, Alexandros Psomas<\/td><\/td><\/tr>
337<\/td>Towards Fair and Efficient Public Transportation: A Bus Stop Model<\/td>Martin Bullinger, Edith Elkind, Mohamad Latifian<\/td><\/td><\/tr>
338<\/td>Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics<\/td>Somnath Hazra, Pallab Dasgupta, Soumyajit Dey<\/td><\/td><\/tr>
357<\/td>Learning Symbolic Task Decompositions for Multi-Agent Teams<\/td>Ameesh Shah, Niklas Lauffer, Thomas Chen, Nikhil Pitta, Sanjit A. Seshia<\/td><\/td><\/tr>
360<\/td>The Metric Distortion of Randomized Social Choice Functions: C1 Maximal Lottery Rules and Simulations<\/td>Fabian Frank, Patrick Lederer<\/td><\/td><\/tr>
363<\/td>On the Complexity of Learning to Cooperate in Populations of Socially Rational Agents<\/td>Saptarashmi Bandyopadhyay, Mustafa Mert \u00c7elikok, Robert Loftin<\/td><\/td><\/tr>
367<\/td>A Scoresheet for Explainable AI<\/td>Michael Winikoff, John Thangarajah, Sebastian Rodriguez<\/td>Link<\/a><\/td><\/tr>
375<\/td>FGLight: Learning neighbor-level information for Traffic Signal Control<\/td>Hang Xiao, Huale Li, Shuhan Qi, Jiajia Zhang, Dingzhong Cai<\/td><\/td><\/tr>
389<\/td>Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration<\/td>Hai Zhong, Xun Wang, Zhuoran Li, Longbo Huang<\/td><\/td><\/tr>
391<\/td>Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal Health<\/td>Arpan Dasgupta, Gagan Jain, Arun Suggala, Karthikeyan Shanmugam, Milind Tambe, Aparna Taneja<\/td><\/td><\/tr>
393<\/td>Truthful and Welfare-maximizing Resource Scheduling with Application to Electric Vehicles<\/td>Ramsundar Anandanarayanan, Swaprava Nath, Prasant Misra<\/td><\/td><\/tr>
394<\/td>Harmonious Balanced Partitioning of a Network of Agents<\/td>Pulkit Agarwal, Harshvardhan Agarwal, Vaibhav Raj, Swaprava Nath<\/td><\/td><\/tr>
398<\/td>Incentives for Early Arrival in Cost Sharing<\/td>Junyu Zhang, Yao Zhang, Yaoxin Ge, Dengji Zhao, Hu Fu, Zhihao Gavin Tang, Pinyan Lu<\/td><\/td><\/tr>
418<\/td>Robust Policy Learning for Multi-UAV Collision Avoidance with Causal Feature Selection<\/td>Jiafan Zhuang, Gaofei Han, Zihaoxia, Che Lin, Boxi Wang, Wenji Li, Wangdongliang, Zhun Fan, Ruichu Cai, Zhifeng Hao<\/td><\/td><\/tr>
420<\/td>Fairness and Optimality in Routing<\/td>Sreenivas Gollapudi, Kostas Kollias, Alkmini Sgouritsa, Ali Kemal Sinop<\/td><\/td><\/tr>
424<\/td>Insights Regarding the Success of Damping in Improving Belief Propagation<\/td>Uriel Zaed, Roie Zivan, Omer Lev<\/td><\/td><\/tr>
427<\/td>Translating Multi-Agent Modal Logics of Knowledge and Belief into Decidable First-Order Fragments<\/td>Qihui Feng, Hannah Wilk, Shakil M Khan, Gerhard Lakemeyer<\/td><\/td><\/tr>
434<\/td>Truthful mechanisms for linear bandit games with private contexts<\/td>Yiting Hu, Lingjie Duan<\/td>Link<\/a><\/td><\/tr>
436<\/td>Model and Mechanisms of Consent for Responsible Autonomy<\/td>Anastasia S. Apeiron, Davide Dell\u2019Anna, Pradeep K. Murukannaiah, Pinar Yolum<\/td><\/td><\/tr>
441<\/td>A Minimax-Bayes Approach to Ad Hoc Teamwork<\/td>Victor Villin, Thomas Kleine Buening, Christos Dimitrakakis<\/td><\/td><\/tr>
442<\/td>Networked Agents in the Dark: Team Value Learning under Partial Observability<\/td>Guilherme S. Varela, Alberto Sardinha, Francisco S. Melo<\/td><\/td><\/tr>
455<\/td>Game-Theoretic Goal Recognition in Time-Sensitive Applications<\/td>Sara Bernardini, Fabio Fagnani, Santiago Franco<\/td><\/td><\/tr>
457<\/td>Artificial Agents Mitigate The Punishment Dilemma Of Indirect Reciprocity<\/td>Alexandre S. Pires, Fernando P. Santos<\/td><\/td><\/tr>
461<\/td>Leveraging Score-based Models for Generating Penalization in Model-based Offline Reinforcement Learning<\/td>Zeyuan Liu, Zhirui Fang, Jiafei Lyu, Xiu Li<\/td><\/td><\/tr>
462<\/td>Opinion Dynamics with Median Aggregation<\/td>Petra Berenbrink, Martin Hoefer, Dominik Kaaser, Marten Maack, Malin Rau, Lisa Wilhelmi<\/td><\/td><\/tr>
468<\/td>Learning with Limited Shared Information in Multi-agent Multi-armed Bandit<\/td>Junning Shao, Siwei Wang, Zhixuan Fang<\/td><\/td><\/tr>
470<\/td>The Bakers and Millers Game with Restricted Locations<\/td>Simon Krogmann, Pascal Lenzner, Alexander Skopalik<\/td><\/td><\/tr>
472<\/td>Fair Division in a Variable Setting<\/td>Harish Chandramouleeswaran, Prajakta Nimbhorkar, Nidhi Rathi<\/td><\/td><\/tr>
481<\/td>Compositional Shielding and Reinforcement Learning for Multi-Agent Systems<\/td>Asger Horn Brorholt, Kim Guldstrand Larsen, Christian Schilling<\/td>Link<\/a><\/td><\/tr>
495<\/td>On the Hardness of Fair Allocation under Ternary Valuations<\/td>Zack Fitzsimmons, Vignesh Viswanathan, Yair Zick<\/td><\/td><\/tr>
499<\/td>The Many Challenges of Human-Like Agents in Virtual Game Environments<\/td>Maciej \u015awiechowski, Dominik Slezak<\/td><\/td><\/tr>
500<\/td>Tackling Temporal Deontic Challenges with Equilibrium Logic<\/td>Davide Sold\u00e0, Pedro Cabalar, Agata Ciabattoni, Emery A. Neufeld<\/td><\/td><\/tr>
511<\/td>Simplifying imperfect recall games<\/td>Hugo Gimbert, Soumyajit Paul, B. Srivathsan<\/td><\/td><\/tr>
513<\/td>Non-obvious Manipulability in Hedonic Games with Friends Appreciation Preferences<\/td>Michele Flammini, Maria Fomenko, Giovanna Varricchio<\/td><\/td><\/tr>
517<\/td>Minimizing Rosenthal\u2019s Potential in Monotone Congestion Games<\/td>Vittorio Bil\u00f2, Angelo Fanelli, Laurent Gourv\u00e8s, Christos Tsoufis, Cosimo Vinci<\/td><\/td><\/tr>
518<\/td>Alternating-time Temporal Logic with Stochastic Abilities<\/td>Gabriel Ballot, Vadim Malvone, Jean Leneutre, Jingxuan Ma, Mourad Leslous<\/td><\/td><\/tr>
521<\/td>Timed Obstruction Logic: A Timed Approach to Dynamic Game Reasoning<\/td>James Ortiz, Vadim Malvone, Jean Leneutre<\/td><\/td><\/tr>
523<\/td>Temporal Fair Division of Indivisible Items<\/td>Edith Elkind, Alexander Lam, Mohamad Latifian, Tzeh Yuan Neoh, Nicholas Teh<\/td><\/td><\/tr>
526<\/td>Unveiling Decision Intention for Cooperative Multi-Agent Reinforcement Learning<\/td>Zeren Zhang, Zhiwei Xu, Guangchong Zhou, Dapeng Li, Bin Zhang, Guoliang Fan<\/td><\/td><\/tr>
530<\/td>Rational Capability in Concurrent Games<\/td>Yinfeng Li, Emiliano Lorini, Munyque Mittelmann<\/td><\/td><\/tr>
533<\/td>Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning<\/td>Weichen Liao, Ti-Rong Wu, I-Chen Wu<\/td><\/td><\/tr>
534<\/td>Synergistic Traffic Assignment<\/td>Thomas Bl\u00e4sius, Adrian Feilhauer, Markus Jung, Moritz Laupichler, Peter Sanders, Michael Z\u00fcndorf<\/td><\/td><\/tr>
544<\/td>Beyond Words: Integrating Personality Traits and Context-Driven Gestures in Human-Robot Interactions<\/td>Tahsin Tariq Banna, Dr. Sejuti Rahman, Dr. Mohammad Tareq<\/td><\/td><\/tr>
550<\/td>Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning<\/td>Lukas Sch\u00e4fer, Oliver Slumbers, Stephen Marcus Mcaleer, Yali Du, Stefano V Albrecht, David Henry Mguni<\/td><\/td><\/tr>
564<\/td>Maximizing Truth Learning in a Social Network is NP-hard<\/td>Filip \u00daradn\u00edk, Amanda Wang, Jie Gao<\/td><\/td><\/tr>
566<\/td>Efficient and Optimal Policy Gradient Algorithm for Corrupted Multi-armed Bandits<\/td>Jiayuan Liu, Siwei Wang, Zhixuan Fang<\/td><\/td><\/tr>
567<\/td>Adaptive Bi-Level Multi-Robot Task Allocation and Learning under Uncertainty with Temporal Logic Constraints<\/td>Xiaoshan Lin, Roberto Tron<\/td><\/td><\/tr>
571<\/td>Socratic: Enhancing Human Teamwork via AI-enabled Coaching<\/td>Sangwon Seo, Bing Han, Rayan Ebnali Harari, Roger Daglius Dias, Marco A. Zenati, Eduardo Salas, Vaibhav V. Unhelkar<\/td><\/td><\/tr>
579<\/td>Condorcet Winners and Anscombe\u201a\u00c4\u00f4s Paradox Under Weighted Binary Voting<\/td>Carmel Baharav, Andrei Constantinescu, Roger Wattenhofer<\/td><\/td><\/tr>
580<\/td>Planning, scheduling, and execution on the Moon: the CADRE technology demonstration mission<\/td>Gregg Rabideau, Joseph A. Russino, Andrew Branch, Nihal N. Dhamani, Tiago Vaquero, Steve Chien, Jean-Pierre De La Croix, Federico Rossi<\/td><\/td><\/tr>
587<\/td>ApproxED: Approximate Exploitability Descent via Learned Best Responses<\/td>Carlos Martin, Tuomas Sandholm<\/td><\/td><\/tr>
592<\/td>SCMRAG: Self-Corrective Multihop Retrieval Augmented Generation System for LLM Agents<\/td>Rishabh Agrawal, Murtaza Asrani, Hadi Youssef, Apurva Narayan<\/td><\/td><\/tr>
602<\/td>k-Approval Veto: A Spectrum of Voting Rules Balancing Metric Distortion and Minority Protection<\/td>Fatih Erdem Kizilkaya, David Kempe<\/td><\/td><\/tr>
605<\/td>An Organizationally-Oriented Approach to Enhancing Explainability and Control in Multi-Agent Reinforcement Learning<\/td>Julien Soul\u00e9, Jean-Paul Jamont, Michel Occello, Louis-Marie Traonouez, Paul Th\u00e9ron<\/td><\/td><\/tr>
607<\/td>Bottom-Up Reputation Promotes Cooperation with Multi-Agent Reinforcement Learning<\/td>Tianyu Ren, Xuan Yao, Yang Li, Xiao-Jun Zeng<\/td><\/td><\/tr>
609<\/td>Combining Planning and Reinforcement Learning for Solving Relational Multiagent Domains<\/td>Nikhilesh Prabhakar, Ranveer Singh, Harsha Kokel, Sriraam Natarajan, Prasad Tadepalli<\/td><\/td><\/tr>
612<\/td>In-context Learning from Language Models can Improve Embodied Instruction-following<\/td>Pengyuan Wang, Jing-Cheng Pang, Wang Chenyang, Xu-Hui Liu, Tian-Shuo Liu, Si-Hang Yang, Yang Yu, Hong Qian<\/td>Link<\/a><\/td><\/tr>
614<\/td>Approximation Ratio for Preference Aggregation Using Tree CP-Nets<\/td>Abu Mohammad Hammad Ali, Daniel Ogundare, Boting Yang, Sandra Zilles<\/td><\/td><\/tr>
621<\/td>Who Am I Dealing With? Explaining the Designer\u2019s Hidden Intentions<\/td>Turgay Caglar, Sarath Sreedharan, Mor Vered<\/td>Link<\/a><\/td><\/tr>
622<\/td>Scalable Offline Reinforcement Learning for Mean Field Games<\/td>Axel Brunnbauer, Julian Lemmel, Zahra Babaiee, Sophie A. Neubauer, Radu Grosu<\/td><\/td><\/tr>
628<\/td>Revisiting Communication Efficiency in Multi-Agent Reinforcement Learning from the Dimensional Analysis Perspective<\/td>Chuxiong Sun, Peng He, Rui Wang, Changwen Zheng<\/td><\/td><\/tr>
630<\/td>TACTIC: Task-Agnostic Contrastive pre-Training for Inter-Agent Communication<\/td>Peihong Yu, Manav Mishra, Syed Zaidi, Pratap Tokekar<\/td><\/td><\/tr>
643<\/td>Value Iteration for Learning Concurrently Executable Robotic Control Tasks<\/td>Sheikh A. Tahmid, Gennaro Notomista<\/td><\/td><\/tr>
646<\/td>Loss of Plasticity: A New Perspective on Solving Multi-Agent Exploration for Sparse Reward Tasks<\/td>Zehua Zang, Chuxiong Sun, Lixiang Liu, Fuchun Sun, Changwen Zheng<\/td><\/td><\/tr>
657<\/td>More Efficient Sybil Detection Mechanisms Leveraging Resistance of Users to Attack Requests<\/td>Ali Safarpoor Dehkordi, Ahad N. Zehmakan<\/td>Link<\/a><\/td><\/tr>
662<\/td>Global Behavior of Learning Dynamics in Zero-Sum Games with Memory Asymmetry<\/td>Yuma Fujimoto, Kaito Ariu, Kenshi Abe<\/td><\/td><\/tr>
664<\/td>EFX Allocations and Orientations on Bipartite Multi-graphs: A Complete Picture<\/td>Mahyar Afshinmehr, Alireza Danaei, Mehrafarin Kazemi, Kurt Mehlhorn, Nidhi Rathi<\/td><\/td><\/tr>
667<\/td>Human-Aligned Skill Discovery: Balancing Behaviour Exploration and Alignment<\/td>Maxence Hussonnois, Thommen George Karimpanal, Santu Rana<\/td><\/td><\/tr>
671<\/td>Fair Allocation of Divisible Goods under Non-Linear Valuations<\/td>Haris Aziz, Zixu He, Xinhang Lu, Kaiyang Zhou<\/td><\/td><\/tr>
683<\/td>Data Pricing for Graph Neural Networks without Pre-purchased Inspection<\/td>Yiping Liu, Mengxiao Zhang, Jiamou Liu, Song Yang<\/td><\/td><\/tr>
696<\/td>Housing Market on Networks<\/td>Xinwei Song, Tianyi Yang, Dengji Zhao<\/td>Link<\/a><\/td><\/tr>
699<\/td>Explaining Facial Expression Recognition<\/td>Sanjeev Nahulanthran, Leimin Tian, Dana Kulic, Mor Vered<\/td><\/td><\/tr>
704<\/td>Consistency Policy with Categorical Critic for Autonomous Driving<\/td>Xing Fang, Qichao Zhang, Haoran Li, Dongbin Zhao<\/td><\/td><\/tr>
709<\/td>FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF<\/td>Flint Xiaofeng Fan, Cheston Tan, Yew-Soon Ong, Roger Wattenhofer, Wei Tsang Ooi<\/td>Link<\/a><\/td><\/tr>
712<\/td>Tackling Sparsity in Designated Driver Dispatch with Multi-Agent Reinforcement Learning<\/td>Jiaxuan Jiang, Ling Pan, Lin Zhou, Longbo Huang, Zhixuan Fang<\/td><\/td><\/tr>
714<\/td>Single-Agent Planning in a Multi-Agent System: A Unified Framework for Type-Based Planners<\/td>Fengming Zhu, Fangzhen Lin<\/td><\/td><\/tr>
727<\/td>Asymptotic Existence of Class Envy-free Matchings<\/td>Tomohiko Yokoyama, Ayumi Igarashi<\/td><\/td><\/tr>
729<\/td>Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement Learning<\/td>Jingbo Sun, Songjun Tu, Qichao Zhang, Ke Chen, Dongbin Zhao<\/td><\/td><\/tr>
730<\/td>Equilibrium Analysis in Markets with Asymmetric Utility Functions<\/td>Martin Bichler, Markus Ewert, Axel Ockenfels<\/td><\/td><\/tr>
738<\/td>Monte Carlo Tree Search with Velocity Obstacles for safe and efficient motion planning in dynamic environments<\/td>Lorenzo Bonanni, Daniele Meli, Alberto Castellini, Alessandro Farinelli<\/td>Link<\/a><\/td><\/tr>
739<\/td>Why Instant-Runoff Voting Is So Resilient to Coalitional Manipulation: Phase transitions in the Perturbed Culture<\/td>Fran\u00e7ois Durand<\/td>Link<\/a><\/td><\/tr>
756<\/td>An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative Tasks<\/td>George Papadopoulos, Andreas Kontogiannis, Foteini Papadopoulou, Chaido Poulianou, Ioannis Koumentis, George Vouros<\/td><\/td><\/tr>
762<\/td>Mitigating Value Conflicts with Computational Theory of Mind<\/td>Emre Erdogan, H\u00fcseyin Ayd\u0131n, Frank Dignum, Rineke Verbrugge, Pinar Yolum<\/td><\/td><\/tr>
765<\/td>Free Argumentative Exchanges for Explaining Image Classifiers<\/td>Avinash Kori, Antonio Rago, Francesca Toni<\/td><\/td><\/tr>
771<\/td>A View of the Certainty-Equivalence Method for PAC RL as an Application of the Trajectory Tree Method<\/td>Shivaram Kalyanakrishnan, Sheel Shah, Santhosh Kumar Guguloth<\/td><\/td><\/tr>
778<\/td>GUIDE-CoT: Goal-driven and User-Informed Dynamic Estimation for Pedestrian Trajectory using Chain-of-Thought<\/td>Sungsik Kim, Baek Janghyun, Jinkyu Kim, Jaekoo Lee<\/td>Link<\/a><\/td><\/tr>
787<\/td>PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning<\/td>Kun Hu, Muning Wen, Xihuai Wang, Shao Zhang, Yiwei Shi, Minne Li, Minglong Li, Ying Wen<\/td><\/td><\/tr>
790<\/td>Learning Real-Life Approval Elections<\/td>Piotr Faliszewski, \u0141ukasz Janeczko, Andrzej Kaczmarczyk, Marcin Kurdziel, Grzegorz Pierczy\u0144ski, Stanis\u0142aw Szufa<\/td><\/td><\/tr>
795<\/td>Decentralized Planning Using Probabilistic Hyperproperties<\/td>Francesco Pontiggia, Filip Mac\u00e1k, Roman Andriushchenko, Michele Chiari, Milan Ceska<\/td>Link<\/a><\/td><\/tr>
797<\/td>Games in Public Announcement: How to Reduce System Losses in Optimistic Blockchain Mechanisms<\/td>Siyuan Liu, Yulong Zeng<\/td><\/td><\/tr>
798<\/td>Predictability Awareness for Efficient and Robust Multi-Agent Coordination<\/td>Rom\u00e1n Chiva Gil, Daniel Jarne Ornia, Khaled A. Mustafa, Javier Alonso-Mora<\/td>Link<\/a><\/td><\/tr>
803<\/td>Improving Policy Optimization via \ud835\udf3a-Retrain<\/td>Luca Marzari, Priya L. Donti, Changliu Liu, Enrico Marchesini<\/td><\/td><\/tr>
805<\/td>On Stateful Value Factorization in Multi-Agent Reinforcement Learning<\/td>Enrico Marchesini, Andrea Baisero, Rupali Bhati, Christopher Amato<\/td><\/td><\/tr>
813<\/td>Temporal Network Creation Games: The Impact of Non-Locality and Terminals<\/td>Davide Bil\u00f2, Sarel Cohen, Tobias Friedrich, Hans Gawendowicz, Nicolas Klodt, Pascal Lenzner, George Skretas<\/td><\/td><\/tr>
819<\/td>Multi-Ship Future Interaction Trajectory Prediction via Pre-Initializer Diffusion Model<\/td>Kun Ma, Qilong Han, Jingzheng Yao<\/td><\/td><\/tr>
827<\/td>Resource Task Games<\/td>Jessica L. Newman, Enrico Gerding, Enrico Marchioni, Baharak Rastegari<\/td><\/td><\/tr>
837<\/td>From Natural Language to Extensive-Form Game Representations<\/td>Shilong Deng, Yongzhao Wang, Rahul Savani<\/td><\/td><\/tr>
845<\/td>Ranking Joint Policies in Dynamic Games using Evolutionary Dynamics<\/td>Natalia Koliou, George Vouros<\/td><\/td><\/tr>
865<\/td>Greedy ABA Learning for Case-Based Reasoning<\/td>Emanuele De Angelis, Maurizio Proietti, Francesca Toni<\/td><\/td><\/tr>
867<\/td>OGS-SLAM: Hybrid ORB-Gaussian Splatting SLAM<\/td>Xiaohan Li, Wenxiang Shen, Dong Liu, Jun Wu<\/td><\/td><\/tr>
870<\/td>Selfish Behavior and Resource Competition in Multi-Agent Systems<\/td>Costas Courcoubetis, Antonis Dimakis<\/td><\/td><\/tr>
874<\/td>Formalising Overdetermination in a Labelled Transition System<\/td>Gauvain Bourgne, Camilo Sarmiento, Jean Gabriel Gustave Ganascia<\/td><\/td><\/tr>
887<\/td>A Simple Integration of Epistemic Logic and Reinforcement Learning<\/td>Thorsten Engesser, Thibaut Le Marre, Emiliano Lorini, Fran\u00e7ois Schwarzentruber, Bruno Zanuttini<\/td>Link<\/a><\/td><\/tr>
900<\/td>Agent-Based Analysis of Green Disclosure Policies and Their Market-Wide Impact on Firm Behavior<\/td>Lingxiao Zhao, Maria Polukarov, Carmine Ventre<\/td><\/td><\/tr>
905<\/td>An Improved Mechanism for Pricing Ride-Hailing Fares<\/td>Marek Adamczyk, Maurycy Borkowski, Micha\u0142 Paw\u0142owski<\/td><\/td><\/tr>
907<\/td>Computing Efficient and Envy-Free Allocations under Dichotomous Preferences using SAT<\/td>Ari Conati, Andreas Niskanen, Ronald De Haan, Matti J\u00e4rvisalo<\/td><\/td><\/tr>
908<\/td>Conditional Max-Sum for Asynchronous Multiagent Decision Making<\/td>Dimitrios Troullinos, Georgios Chalkiadakis, Ioannis Papamichail, Markos Papageorgiou<\/td><\/td><\/tr>
909<\/td>Probabilistic Timed ATL<\/td>Wojciech Jamroga, Marta Kwiatkowska, Wojciech Penczek, Laure Petrucci, Teofil Sidoruk<\/td><\/td><\/tr>
915<\/td>On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow<\/td>Tonghan Wang, Heng Dong, Yanchen Jiang, David C. Parkes, Milind Tambe<\/td><\/td><\/tr>
917<\/td>Policy Abstraction and Nash Refinement in Tree-Exploiting PSRO<\/td>Christine Konicki, Mithun Chakraborty, Michael P. Wellman<\/td><\/td><\/tr>
929<\/td>Practical Abstractions for Model Checking Continuous-Time Multi-Agent Systems<\/td>Yan Kim, Wojciech Jamroga, Wojciech Penczek, Laure Petrucci<\/td><\/td><\/tr>
930<\/td>Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction<\/td>Taher Jafferjee, Juliusz Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Henry Mguni,<\/td><\/td><\/tr>
932<\/td>Coherence-Driven Multimodal Safety Dialogue with Active Learning for Embodied Agents<\/td>Sabit Hassan, Hye-Young Chung, Xiang Zhi Tan, Malihe Alikhani<\/td><\/td><\/tr>
933<\/td>Selecting Interlacing Committees<\/td>Chris Dong, Martin Bullinger, Tomasz W\u0192\u00f6s, Larry Birnbaum, Edith Elkind<\/td><\/td><\/tr>
937<\/td>Bidding Games on Markov Decision Processes with Quantitative Reachability Objectives<\/td>Guy Avni, Martin Kure\u0192\u00e7ka, Kaushik Mallik, Petr Novotn\u00fd, Suman Sadhukhan<\/td><\/td><\/tr>
939<\/td>Eliminating Majority Illusion<\/td>Foivos Fioravantes, Abhiruk Lahiri, Antonio Lauerbach, Llu\u00eds Sabater, Marie Diana Sieper, Samuel Wolf<\/td><\/td><\/tr>
941<\/td>EnEnv 1.0: Energy Grid Environment for Multi-Agent Reinforcement Learning Benchmarking<\/td>Dominik Jacek Bogucki, \u0141ukasz Eugeniusz Lepak, Sonam Parashar, Bart Blachowski, Pawe\u0142 Wawrzy\u0144ski<\/td><\/td><\/tr>
942<\/td>Emergence of Recursive Language through Bootstrapping and Iterated Learning<\/td>Vikas Kumar, Ajin George Joseph<\/td><\/td><\/tr>
943<\/td>Voter Model Meets Rumour Spreading: A Study of Consensus Protocols on Graphs with Agnostic Nodes<\/td>Marcelo Matheus Gauy, Anna Abramishvili, Eduardo Colli, Tiago Madeira, Frederik Mallmann-Trenn, Vin\u00edcius Franco Vasconcelos, David Kohan Marzagao<\/td><\/td><\/tr>
944<\/td>Neural DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable Policies<\/td>Kexin Gu Baugh, Luke Dickens, Alessandra Russo<\/td>Link<\/a><\/td><\/tr>
946<\/td>Multi-objective Reinforcement Learning with Nonlinear Preferences: Provable Approximation for Maximizing Expected Scalarized Return<\/td>Nianli Peng, Muhang Tian, Brandon Fain<\/td><\/td><\/tr>
950<\/td>Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network<\/td>Vincent Hsiao, Mark Roberts, Laura M. Hiatt, George Konidaris, Dana S. Nau<\/td><\/td><\/tr>
963<\/td>Local Topological Information as a Powerful Enhancer for Generalizable Neural Method in Travelling Salesman Problem<\/td>Xiaoxin Bai, Junyang Yang, Shengchao Yuan, Yinghao Zhang, Hanqian Wu<\/td><\/td><\/tr>
966<\/td>Reinforcement Learning-based Approach for Vehicle-to-Building Charging with Heterogeneous Agents and Long Term Rewards<\/td>Fangqi Liu, Rishav Sen, Jose Paolo Talusan, Ava Pettet, Aaron Kandel, Yoshinori Suzue, Ayan Mukhopadhyay, Abhishek Dubey<\/td>Link<\/a><\/td><\/tr>
968<\/td>Certified Guidance for Planning with Deep Generative Models<\/td>Francesca Cairoli, Francesco Giacomarra, Mehran Hosseini, Nicola Paoletti<\/td>Link<\/a><\/td><\/tr>
973<\/td>Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations<\/td>Sangwon Seo, Vaibhav V. Unhelkar<\/td><\/td><\/tr>
977<\/td>LTL Verification of Memoryful Neural Agents<\/td>Mehran Hosseini, Alessio Lomuscio, Nicola Paoletti<\/td><\/td><\/tr>
992<\/td>Large Language Models for Virtual Human Gesture Selection<\/td>Parisa Ghanad Torshizi, Laura B. Hensel, Ari Shapiro, Stacy Marsella<\/td>Link<\/a><\/td><\/tr>
999<\/td>Policy Graphs and Intention: answering \u2018why\u2019 and \u2018how\u2019 from a telic perspective<\/td>Victor Gimenez-Abalos, Sergio Alvarez-Napagao, Adri\u00e1n Tormos, Ulises Cort\u00e9s, Javier Vazquez-Salceda<\/td>Link<\/a><\/td><\/tr>
1005<\/td>HAVA: Hybrid Approach to Value-Alignment through Reward Weighing for Reinforcement Learning<\/td>Kryspin Varys, Federico Cerutti, Adam Sobey, Timothy J. Norman<\/td><\/td><\/tr>
1008<\/td>Extending Consensus-based Task Allocation Algorithms with Bid Intercession to Foster Mixed-Initiative<\/td>Victor Guillet, Charles Lesire, Gauthier Picard, Christophe Grand<\/td><\/td><\/tr>
1009<\/td>Agent-based Modeling and Simulation of Ambiguity in Catastrophe Insurance Markets<\/td>Yu Bi, Lingxiao Zhao, Jinyun Tong, Zhe Feng, Carmine Ventre<\/td><\/td><\/tr>
1010<\/td>Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource Allocation<\/td>Guojun Xiong, Haichuan Wang, Yuqi Pan, Saptarshi Mandal, Sanket Shah, Niclas Boehmer, Milind Tambe<\/td><\/td><\/tr>
1020<\/td>Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring<\/td>Gusseppe Bravo-Rocca, Peini Liu, Jordi Guitart, Rodrigo M Carrillo-Larco, Ajay Dholakia, David Ellison<\/td><\/td><\/tr>
1022<\/td>Generalised BDI Planning<\/td>Felipe Meneguzzi, Ramon Fraga Pereira, Nir Oren<\/td><\/td><\/tr>
1026<\/td>Uncertainty Expression for Human-Robot Task Communication<\/td>David Porfirio, Mark Roberts, Laura M. Hiatt<\/td><\/td><\/tr>
1029<\/td>Smooth Information Gathering in Two-Player Noncooperative Games<\/td>Fernando Palafox, Jesse Milzman, Dong Ho Lee, Ryan Park, David Fridovich-Keil<\/td><\/td><\/tr>
1034<\/td>Uncertain Machine Ethics Planning<\/td>Simon Kolker, Louise A. Dennis, Ramon Fraga Pereira, Mengwei Xu<\/td>Link<\/a><\/td><\/tr>
1036<\/td>xSRL: Safety-Aware Explainable RL \u2013 Safety as a Product of Explainability<\/td>Risal Shahriar Shefin, Md Asifur Rahman, Thai Le, Sarra Alqahtani<\/td><\/td><\/tr>
1038<\/td>Robustness of Epistemic Gossip Protocols Against Data Loss<\/td>Yoshikatsu Kobayashi, Koji Hasebe<\/td><\/td><\/tr>
1049<\/td>Sea-cret Agents: Maritime Abduction for Region Generation to Expose Dark Vessel Trajectories<\/td>Divyagna Bavikadi, Nathaniel Lee, Chad Parvis, Paulo Shakarian<\/td>Link<\/a><\/td><\/tr>
1062<\/td>On the Gale-Shapley Algorithm for Stable Matchings with a Partial Honesty Nash Refinement<\/td>James Patrick Bailey, Craig Tovey<\/td><\/td><\/tr>
1064<\/td>The Price of Anarchy in Spatial Social Choice<\/td>James Patrick Bailey, Craig Tovey<\/td><\/td><\/tr>
1068<\/td>An AI-Driven Card Playing Robot: An Empirical Study on Communicative Style and Embodiment with Elderly Adults<\/td>Michael Banck, Elisabeth Ganal, Hanna-Finja Weichert, Frank Puppe, Birgit Lugrin<\/td><\/td><\/tr>
1102<\/td>Indifferential Privacy: A New Paradigm and Its Applications to Optimal Matching in Dark Pool Auctions<\/td>Antigoni Polychroniadou, T-H. Hubert Chan, Adya Agrawal<\/td><\/td><\/tr>
1103<\/td>Dynamic Coalition Structure Detection in Natural-Language-based Interactions<\/td>Abhishek Ninad Kulkarni, Andy Liu, Jean-Rapha\u00ebl Gaglione, Daniel Fried, Ufuk Topcu<\/td><\/td><\/tr>
1107<\/td>Reputation-Filtered Reward Reshaping: Encouraging Cooperation in High Dimensional Semi-Cooperative Multi-agent Settings<\/td>Hassan Raissouni, Wissal Bekhti, Btissam El Khamlichi, Amal Seghrouchni<\/td><\/td><\/tr>
1109<\/td>Game of Thoughts: Iterative Reasoning in Game-Theoretic Domains with Large Language Models<\/td>Benjamin Kempinski, Ian Gemp, Kate Larson, Yoram Bachrach, Marc Lanctot, Tal Kachman<\/td><\/td><\/tr>
1113<\/td>Multi-Objective Planning with Contextual Lexicographic Reward Preferences<\/td>Pulkit Rustagi, Yashwanthi Anand, Sandhya Saisubramanian<\/td>Link<\/a><\/td><\/tr>
1139<\/td>Discovery and Deployment of Emergent Robot Swarm Behaviors via Representation Learning and Real2Sim2Real Transfer<\/td>Connor Mattson, Varun Raveendra, Ricardo Vega, Cameron Nowzari, Daniel S. Drew, Daniel S. Brown<\/td><\/td><\/tr>
1140<\/td>Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment<\/td>Kartik Nagpal, Dayi Ethan Dong, Negar Mehr<\/td><\/td><\/tr>
1142<\/td>Who Reviews The Reviewers? A Multi-Level Jury Problem<\/td>Ben Abramowitz, Omer Lev, Nicholas Mattei<\/td><\/td><\/tr>
1153<\/td>On Some Fundamental Problems for Multi-Agent Systems Over Multilayer Networks<\/td>Daniel Rosenkrantz, Madhav Marathe, Zirou Qiu, S. S. Ravi, Richard Stearns<\/td><\/td><\/tr>
1176<\/td>Hitchhiker\u2019s Guide to Patrolling: Path-Finding for Energy-Sharing Drone-UGV Teams<\/td>Jonathan Diller, Qi Han, Robert Byers, James Dotterweich, James Humann<\/td><\/td><\/tr>
1188<\/td>Learning Collusion in Episodic, Inventory-Constrained Markets<\/td>Paul Friedrich, Barna P\u00e1sztor, Giorgia Ramponi<\/td><\/td><\/tr>
1189<\/td>Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures<\/td>Erfaun Noorani, Pasan Dissanayake, Faisal Hamman, Sanghamitra Dutta<\/td>Link<\/a><\/td><\/tr>
1207<\/td>Self-Interpretable Reinforcement Learning via Rule Ensembles<\/td>Yue Yang, Fan Yang, Yu Bai, Hao Wang<\/td><\/td><\/tr>
1208<\/td>\ud835\udefd-DQN: Improving Deep Q-Learning By Evolving the Behavior<\/td>Hongming Zhang, Fengshuo Bai, Chenjun Xiao, Chao Gao, Bo Xu, Martin M\u00fcller<\/td>Link<\/a><\/td><\/tr>
1209<\/td>The Degree of (Extended) Justified Representation and Its Optimization<\/td>Biaoshuai Tao, Chengkai Zhang, Houyu Zhou<\/td><\/td><\/tr>
1218<\/td>Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing Problems<\/td>Yuxin Pan, Ruohong Liu, Yize Chen, Zhiguang Cao, Fangzhen Lin<\/td><\/td><\/tr>
1226<\/td>Full Proportional Justified Representation<\/td>Yusuf Hakan Kalayci, Jiasen Liu, David Kempe<\/td><\/td><\/tr>
1233<\/td>Reinforcement Learning Based Simulated Annealing<\/td>Nathan Qiu, Daniel Dali Liang<\/td>Link<\/a><\/td><\/tr>
1250<\/td>ShipNaviSim: Data-Driven Simulation for Real-World Maritime Navigation<\/td>Quang Anh Pham, Janaka Chathuranga Brahmanage, Akshat Kumar<\/td><\/td><\/tr>
1255<\/td>Mean Field Correlated Imitation Learning<\/td>Zhiyu Zhao, Chengdong Ma, Qirui Mi, Ning Yang, Xue Yan, Mengyue Yang, Haifeng Zhang, Jun Wang, Yaodong Yang,<\/td><\/td><\/tr>
1265<\/td>Conformal Set-based Human-AI Complementarity with Multiple Experts<\/td>Helbert Paat, Guohao Shen<\/td>Link<\/a><\/td><\/tr>
1269<\/td>Geometric Freeze-Tag Problem<\/td>Sharareh Alipour, Kajal Baghestani, Mahdis Mirzaei, Soroush Sahraei<\/td>Link<\/a><\/td><\/tr>
1273<\/td>On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression<\/td>Zichang Ge, Changyu Chen, Arunesh Sinha, Pradeep Varakantham<\/td><\/td><\/tr>
1283<\/td>Emit As You Go: Enumerating Edges of a Spanning Tree<\/td>Katrin Casel, Stefan Neubert<\/td><\/td><\/tr>
1289<\/td>Optimising expectation with guarantees for window mean payoff in Markov decision processes<\/td>Pranshu Gaba, Shibashis Guha<\/td><\/td><\/tr>
1293<\/td>Maximizing Value in Challenge the Champ Tournaments<\/td>Umang Bhaskar, Juhi Chaudhary, Palash Dey<\/td><\/td><\/tr>
1303<\/td>DUPRE: Data Utility Prediction for Efficient Data Valuation<\/td>Pham Kieu Thao Nguyen, Rachael Hwee Ling Sim, Quoc Phong Nguyen, See-Kiong Ng, Bryan Kian Hsiang Low<\/td><\/td><\/tr>
1304<\/td>Surprise! Surprise! Learn and Adapt<\/td>Huma Samin, Dylan J. Walton, Nelly Bencomo<\/td>Link<\/a><\/td><\/tr>
1307<\/td>Preventing Misinformation with Redundancy in Emergent Communication<\/td>F\u00e1bio Vital, Alberto Sardinha, Francisco S. Melo<\/td>Link<\/a><\/td><\/tr>
1317<\/td>Ready, Bid, Go! On-Demand Delivery Using Fleets of Drones with Unknown, Heterogeneous Energy Storage Constraints<\/td>Mohamed S. Talamali, Genki Miyauchi, Thomas Watteyne, Micael Santos Couceiro, Roderich Gross<\/td>Link<\/a><\/td><\/tr>
1319<\/td>Beyond Goal Recognition: A Reinforcement Learning-based Approach to Inferring Agent Behaviour<\/td>Sheryl Mantik, Michael Dann, Minyi Li, Huong Ha, Julie Porteous<\/td><\/td><\/tr>
1338<\/td>Towards Efficient Online Goal Recognition through Deep Learning<\/td>Lorenzo Serina, Mattia Chiari, Alfonso Gerevini, Luca Putelli, Ivan Serina<\/td><\/td><\/tr>
1346<\/td>Parameterized Algorithms for Multiagent Pathfinding on Trees<\/td>Argyrios Deligkas, Eduard Eiben, Robert Ganian, Iyad A. Kanj, Ramanujan Sridharan<\/td><\/td><\/tr>
1347<\/td>Enhancing Sub-Optimal Trajectory Stitching: Spatial Composition RvS for Offline RL<\/td>Sheng Zang, Zhiguang Cao, Bo An, Senthilnath Jayavelu, Xiaoli Li<\/td><\/td><\/tr>
1351<\/td>The effect of agent-based feedback on prosociality in social dilemmas<\/td>Jennifer Renoux, Filipa Correia, Joana Campos, Lucas Morillo-Mendez, Neziha Akalin, Fernando P. Santos, Ana Paiva<\/td><\/td><\/tr>
1370<\/td>Offline Multi-Agent Preference-based Reinforcement Learning with Agent-aware Direct Preference Optimization<\/td>Qian Kou, Mingyang Li, Zeyang Liu, Long Qian, Zhuoran Chen, Lipeng Wan, Xingyu Chen, Xuguang Lan<\/td><\/td><\/tr>
1374<\/td>MOSMAC: A Multi-agent Reinforcement Learning Benchmark on Sequential Multi-Objective Tasks<\/td>Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan<\/td><\/td><\/tr>
1377<\/td>Byzantine Game Theory: Sun Tzu\u2019s Boxes<\/td>Andrei Constantinescu, Roger Wattenhofer<\/td><\/td><\/tr>
1381<\/td>Modeling the Centaur: Human-Machine Synergy in Sequential Decision Making<\/td>David Shoresh, Yonatan Loewenstein<\/td><\/td><\/tr>
1385<\/td>Together We Rise: Optimizing Real-Time Multi-Robot Task Allocation using Coordinated Heterogeneous Plays<\/td>Aritra Pal, Anandsingh Chauhan, Mayank Baranwal<\/td><\/td><\/tr>
1386<\/td>Uncertainty-Aware Opponent Modeling for Deep Reinforcement Learning<\/td>Likun Yang, Pei Xu, Shiyue Cao, Yongjian Ren, Xiaotang Chen, Kaiqi Huang<\/td><\/td><\/tr>
1387<\/td>Contrastive Explainable Clustering with Differential Privacy<\/td>Ariel Vetzler, Dung Nguyen, Sarit Kraus, Anil Vullikanti<\/td><\/td><\/tr>
1388<\/td>Evaluation-Time Policy Switching for Offline Reinforcement Learning<\/td>Natinael Solomon Neggatu, Jeremie Houssineau, Giovanni Montana<\/td><\/td><\/tr>
1389<\/td>CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems<\/td>Chuanbo Hua, Federico Berto, Jiwoo Son, Seunghyun Kang, Changhyun Kwon, Jinkyoo Park<\/td><\/td><\/tr>
1390<\/td>Responsible Uplift Modeling<\/td>Lihi Idan, Ming Li<\/td><\/td><\/tr>
1391<\/td>Composing Reinforcement Learning Policies, with Formal Guarantees<\/td>Florent Delgrange, Guy Avni, Anna Lukina, Christian Schilling, Ann Now\u00e9, Guillermo Perez<\/td><\/td><\/tr>
1392<\/td>Minimizing Makespan with Conflict-Based Search for Optimal Multi-Agent Path Finding<\/td>Amir Maliah, Dor Atzmon, Ariel Felner<\/td><\/td><\/tr>
1393<\/td>Towards Envy-Freeness Relaxations for General Nonmonotone Valuations<\/td>Umang Bhaskar, Gunjan Kumar, Yeshwant Pandit, Rakshitha<\/td><\/td><\/tr>
1394<\/td>On the Structure of EFX Orientations on Graphs<\/td>Jinghan Zeng, Ruta Mehta<\/td><\/td><\/tr>
1396<\/td>Changing the Rules of the Game: Reasoning About Dynamic Phenomena in Multi-Agent Systems<\/td>Rustam Galimullin, Maksim Gladyshev, Munyque Mittelmann, Nima Motamed<\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"

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