Accepted Extended Abstracts (Main Technical Track)

Some extended abstracts have links to author-made short video presentations (typically about 5 minutes long) in the last column.

ID	Title	Authors	Video
5	PANDA: Priority-Based Collision Avoidance Framework for Heterogeneous UAVs Navigating in Dense Airspace	Agamdeep Singh, Jaskirat Singh, Sujit Pb
7	Nash Equilibrium and Learning Dynamics in Three-Player Matching m-Action Games	Yuma Fujimoto, Kaito Ariu, Kenshi Abe
16	Adapting Beyond the Depth Limit: Counter Strategies in Large Imperfect Information Games	David Milec, Vojtech Kovarik, Viliam Lisý	Link
17	Dynamic Option Creation in Option-Critic Reinforcement Learning	Mateus Begnini Melchiades, Gabriel De Oliveira Ramos, Bruno Castro Da Silva
26	Offline Meta Reinforcement Learning with Weighted Policy Constraints and Proximal Context Collection	Haorui Li, Jiaqi Liang, Linjing Li, Daniel Dajun Zeng
75	Efficient Model Checking with Semantically-Equivalent Models for vGOAL	Yi Yang, Tom Holvoet
88	Empowering Generalization for Deep Reinforcement Learning via Symbolic Planning	Tianpei Yang, Srijita Das, Christabel Wayllace, Matthew E. Taylor
102	ADAGE: A generic two-layer framework for adaptive agent based modelling	Benjamin Patrick Evans, Sihan Zeng, Sumitra Ganesh, Leo Ardon
103	Truman: A Large Language Model-based Multi-agent Simulator for Synthetic Money Laundering Data Generation	Dattatray Vishnu Kute, Zihao Xu, Yuekang Li, Fethi A Rabhi
109	Predicting Team Performance from Communications in Simulated Search-and-Rescue	Ali Jalal-Kamali, Nikolos M Gurney, David V. Pynadath
113	Local Anomaly Detection with Partial Observation in Multi-agent Systems as a Data Matching Game	Zixin Ye, Christopher Leckie, Tansu Alpcan
117	Resource Allocation under the Latin Square Constraint	Yasushi Kawase, Bodhayan Roy, Mohammad Azharuddin Sanpui
123	Group Fairness in Multi-period Mobile Facility Location Problems	Haris Aziz, Hau Chan, Xingchen Sha, Toby Walsh, Lirong Xia
133	Shapley Value-based Approach for Distributing Revenue of Matchmaking of Private Transactions in Blockchains	Rasheed, Parth Desai, Yash Chaurasia, Sujit Gujar
134	Neighborhood Stability in Assignments on Graphs	Haris Aziz, Grzegorz Lisowski, Mashbat Suzuki, Jeremy Vollen
155	Transformer Guided Coevolution: Improved Team Formation in Multiagent Adversarial Games	Pranav Rajbhandari, Prithviraj Dasgupta, Donald Sofge
172	Robust Strategies for Stochastic Multi-Agent Systems	Raphaël Berthon, Joost-Pieter Katoen, Munyque Mittelmann, Aniello Murano
173	Shifting Power: Leveraging LLMs to Simulate Human Aversion in ABMs of Bilateral Financial Exchanges	A Bond Market Study., Alicia Vidler, Toby Walsh
175	Observer-Aware Probabilistic Planning under Partial Observability	Salomé Lepers, Vincent Thomas, Olivier Buffet
181	Multi-Agent Systems for Bullying Intervention	Luis Zhinin-Vera, José J González-García, Víctor López-Jaquero, Elena Navarro, Pascual González
188	Heuristics-Assisted Experience Replay Strategy for Cooperative Multi-Agent Reinforcement Learning	Xie Yi, Ziqing Zhou, Chun Ouyang, Siao Liu, Linqiang Hu, Zhongxue Gan
190	Fair Assignment on Multi-Stage Graphs	Vibulan J, Swapnil Dhamal, Shweta Jain, Ojassvi Kumar, Aman Kumar, Harpreet Singh
192	Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization	Shengchao Hu, Wanru Zhao, Weixiong Lin, Li Shen, Ya Zhang, Dacheng Tao
202	Regret Guarantees for a UCB-based Algorithm for Volatile Combinatorial Bandits	Andra Siva Sai Teja, Kumar Abhishek, Sujit Gujar, Yadati Narahari, Ganesh Ghalme
205	Voter Participation Control in Online Polls	Koustav De, Palash Dey, Swagato Sanyal	Link
217	Learning Heterogeneous Agent Collaboration in Decentralized Multi-Agent Systems via Intrinsic Motivation	Jahir Sadik Monon, Deeparghya Dutta Barua, Md Mosaddek Khan
222	Leveraging Fully-Observable Solutions for Improved Partially-Observable Offline Reinforcement Learning	Chulabhaya Wijesundara, Andrea Baisero, Gregory David Castanon, Alan Carlin, Robert Platt, Christopher Amato
223	Fast Adaption by Policy Deviation Integral Meta-reinforcement Learning with Applications to High-speed Trains Operation	Haotong Zhang, Wanyuan Wang
235	RallyDiffuser: A Representation-Guided Diffusion Model Framework for Strategic Planning in Badminton	Bing-Zhi Ke, Kuang-Da Wang, Wen-Chih Peng
253	Negotiated Reasoning: On Provably Addressing Relative Over-Generalization	Junjie Sheng, Wenhao Li, Bo Jin, Hongyuan Zha, Jun Wang, Xiangfeng Wang
260	Dynamic Conservative Degree Allocation for Offline Multi-Agent Reinforcement Learning	Haosheng Chen, Yun Hua, Junjie Sheng, Wenhao Li, Bo Jin, Xiangfeng Wang
267	Stochastic k-Submodular Bandits with Full Bandit Feedback	Guanyu Nie, Vaneet Aggarwal, Christopher John Quinn
274	Learning Fair and Preferable Allocations through Neural Network	Ryota Maruo, Koh Takeuchi, Hisashi Kashima
275	MORL4Water: A Modular Multi-Objective Reinforcement Learning Toolkit for Water Resource Management	Zuzanna Osika, Roxana Rădulescu, Jazmin Zatarain Salazar, Frans A Oliehoek, Pradeep K. Murukannaiah
278	Towards Automating the Design of Value-Aligned Clinical Protocols	Manel Rodriguez-Soto, Nardine Osman, Carles Sierra, Rocio Cintas-Garcia, Cristina Farriols-Danes, Montserrat Garcia-Retortillo, Silvia Minguez-Maso, Jordi Martinez-Roldan
296	Adaptive Offline Data Replay in Offline-to-Online Reinforcement Learning	Xu Liu, Tong Yu, Shuai Li
304	Enhancing Offline Safe Reinforcement Learning with Trajectory-Constrained Diffusion Planning	Hengrui Zhang, Youfang Lin, Shuo Shen, Hanfeng Lin, Peng Cheng, Sheng Han, Kai Lv
311	IBGP: Imperfect Byzantine Generals Problem for Zero-Shot Robustness in Communicative Multi-Agent Systems	Yihuan Mao, Yipeng Kang, Peilun Li, Ning Zhang, Wei Xu, Chongjie Zhang
317	CADP: Towards Better Centralized Learning for Decentralized Execution in MARL	Yihe Zhou, Shunyu Liu, Yunpeng Qing, Tongya Zheng, Kaixuan Chen, Jie Song, Mingli Song
347	On the Distortion of Multi-Winner Elections on the Line Metric	Negar Babashah, Hasti Karimi, Masoud Seddighin, Golnoosh Shahkarami
348	Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields	Arseniy Pertzovsky, Roni Stern, Roie Zivan, Ariel Felner	Link
350	On-Policy Reinforcement Learning From Failure via Sparse Reward Densification	Mingkang Wu, Yongcan Cao
362	Enhancing Robot Navigation Policies with Task-Specific Uncertainty Management	Gokul Puthumanaillam, Paulo Padrao, Jose Fuentes, Leonardo Bobadilla, Melkior Ornik
364	DyLam: A Dynamic Reward Weighting Framework for Reinforcement Learning Algorithms	Mateus Gonçalves Machado, Hansenclever Bassani	Link
365	Requirements-based Explainability for Multi Agent Systems	Sebastian Rodriguez, John Thangarajah, Michael Winikoff
366	The Effectiveness of Best-Response Dynamics in Reducing Price of Anarchy for Markov Potential Games	Dingyang Chen, Xiaoling Zeng, Thinh T. Doan, Qi Zhang
380	Learning Bayesian Game Families, with Application To Mechanism Design	Madelyn Gatchel, Michael P. Wellman
386	Policies with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming Approach	Xinjie Liu, Jingqi Li, Filippos Fotiadis, Mustafa O. Karabag, Jesse Milzman, David Fridovich-Keil, Ufuk Topcu	Link
396	Optimal Mechanism Design for Crowdfunding of Public Goods	Yukun Cheng, Xiaotie Deng, Baqiao Quan	Link
426	Adaptive Budget Optimization for Multichannel Advertising Using Combinatorial Bandits	Briti Gangopadhyay, Zhao Wang, Alberto Silvio Chiappa, Shingo Takamatsu	Link
429	Parameterized Complexity of Hedonic Games with Enemy-Oriented Preferences	Martin Durand, Laurin Erlacher, Johanne Müller Vistisen, Sofia Simola
433	Egalitarianism in Online Coalition Formation	Saar Cohen, Noa Agmon
444	Distributed Value Decomposition Networks with Networked Agents	Guilherme S. Varela, Alberto Sardinha, Francisco S. Melo
448	Interaction Protocols in an Imperative Agent-Oriented Programming Language: the case of BSPL and SARL	Matteo Baldoni, Cristina Baroglio, Stéphane Galland, Roberto Micalizio, Fatma Outay, Stefano Tedeschi
449	Managing an Agent’s Changing Intentions Using LTL𝑓 Synthesis	Giuseppe De Giacomo, Yves Lesperance, Gianmarco Parretti, Fabio Patrizi, Renzo Schram
452	Compensating latent nonlinear dynamics for practical consensus control	Krzysztof Kowalczyk, Dominik Baumann, Cristian R. Rojas, Paweł Wachel
463	CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning	Zeyuan Liu, Yang Kai, Jiafei Lyu, Xiu Li
464	Social Ranking for Feature Selection	Laurent Gourvès, Stefano Moretti, Satya Tamby
483	Learning Pre-Trained Tacit Behavior for Efficient Multi-Agent Adversarial Coordination	Shiqing Yao, Jiajun Chai, Haixin Yu, Yongzhe Chang, Yuanheng Zhu, Xueqian Wang
505	Reducing Variance Caused by Communication in Decentralized Multi-agent Deep Reinforcement Learning	Changxi Zhu, Mehdi Dastani, Shihan Wang
507	Making Universal Policies Universal	Niklas Hoepner, David Kuric, Herke Van Hoof
520	Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity	Calarina Muslimani, Bram Grooten, Deepak Ranganatha Sastry Mamillapalli, Mykola Pechenizkiy, Decebal Constantin Mocanu, Matthew E. Taylor
525	LogiEx: Integrating Formal Logic and Large Language Model for Explainable Planning	Ziyan An, Xia Wang, Hendrik Baier, Zirong Chen, Abhishek Dubey, Taylor T Johnson, Jonathan Sprinkle, Ayan Mukhopadhyay, Meiyi Ma
541	ChatBDI: Think BDI	Talk Llm, Andrea Gatti, Viviana Mascardi, Angelo Ferrando
546	Modeling the Collaborative Edge Data Caching Problem via a Dynamic DCOP	Ziyang Song, Ziyu Chen, Jinhui Huang, Cheng Zhang, Jingyuan He
547	Reasoning and Planning with Dynamic Social Norms	Taylor Olson, Roberto Salas-Damian, Kenneth Forbus
557	Predictive Improvement through Latent Space Optimisation	Alexander McCaffrey, Eduardo Alonso, Esther Mondragon
565	Knowledge Transfer in Model-Based Reinforcement Learning Agents for Efficient Multi-Task Learning	Dmytro Kuzmenko, Nadiya Shvai
584	Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense	Aditya Vikram Singh, Ethan Rathbun, Emma Graham, Lisa Oakley, Simona Boboila, Alina Oprea, Peter Chin
586	Practical Comparisons of Reservoir Topology Performance and Input Distribution in Digital Reservoir Computers	Lewis Thelen, Vikram Ravindra
588	Dynamic Reward Sharing to Enhance Learning in the Context of Multiagent Teams	Kyle Tilbury, David Radke
590	AlphaZeroES: Direct Score Maximization Outperforms Planning Loss Minimization	Carlos Martin, Tuomas Sandholm
626	Rethinking Explainable AI: Explanations can be Deceiving	Peta Masters, Daniel Gallagher, Luc Moreau, Mor Vered
644	FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation	Wenzheng Jiang, Ji Wang, Xiongtao Zhang, Weidong Bao, Cheston Tan, Flint Xiaofeng Fan
656	Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences	Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
673	The Costly Bargain: Economic Impacts of Price-Seeking Behavior in Aging Populations	Fuguang Chen, Alan Tsang
677	Traffic Anomaly Detection through Generative Modeling of Multi-Agent Interactions in Traffic Flow	Zhuojun Chen, Tacitus Hui, Xinghua Zhu, Dongzhe Su
682	Satisfactory Budget Division	Laurent Gourvès, Michael Lampis, Nikolaos Melissinos, Aris Pagourtzis
689	Decentralized Deep Reinforcement Learning for Cooperative Multi-Agent Flight Trajectory Planning in Adverse Weather	Bizhao Pang, Mingcheng Zhang, Xinting Hu, Sameer Alam, Guglielmo Lulli
705	Mitigating Non-Stationarity in Deep Reinforcement Learning with Clustering Orthogonal Weight Modification	Guoqing Ma, Yuhan Zhang, Yuming Dai, Guangfu Hao, Yang Chen, Shan Yu
722	SFedRec: A Federated Learning Framework for Dynamic Session-based Recommendation	Hexiao Zhang, Yanni Tang, Jiamou Liu, Wu Chen
723	Environmental Policies within Cournot Oligopoly	Liang Shan, Zhengyang Liu, Haoqiang Huang, Zihe Wang
732	Efficient Training of Generalizable Visuomotor Policies via Control-Aware Augmentation	Yinuo Zhao, Kun Wu, Tianjiao Yi, Zhiyuan Xu, Zhengping Che, Chi Harold Liu, Jian Tang
735	Multiplayer Games With Incomplete Information for Hyperproperty Verification	Raven Beutner, Bernd Finkbeiner
736	RainbowArena: A Multi-Agent Toolkit for Reinforcement Learning and Large Language Models in Competitive Tabletop Games	Yingzhuo Liu, Shuodi Liu, Hongsong Tang, Yubing Ma, Zikang Li, Junge Zhang, Liuyu Xiang, Zhaofeng He
747	Multi-Agent Pickup and Delivery with Batteries	Marcello Bavaro, Francesco Amigoni
755	Model of the influence of external signals on the trust of the agent in Multi Agent System	Frederique Lalieu, Tomasz Zurek, Tom Van Engers
758	What Is a Counterfactual Cause in Action Theories?	Daxin Liu, Vaishak Belle
768	Quantitative Operational Monitoring for BDI Agents	Marie Farrell, Angelo Ferrando, Mengwei Xu
782	Integrating Large Language Models with Reinforcement Learning for Generalization in Strategic Card Games	Wannian Xia, Meng Fang, Zihao Guo, Yali Du, Bo Xu
814	Lite-DIO Is Actually What You Need for Efficient Inertial Localization	Yan Li, Meng Liu, Zhongchen Shi, Yanqing Hou, Liang Xie, Hongbo Chen, Erwei Yin
824	Equilibrium selection via communication partition	Wei-Chen Lee, Alessandro Abate, Michael J. Wooldridge
826	Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors	Lang Feng, Jiahao Lin, Dong Xing, Li Zhang, De Ma, Gang Pan
842	Experience-replay Innovative Dynamics	Tuo Zhang, Leonardo Stella, Julian Barreiro-Gomez
844	Multi-Agent Reinforcement Learning with Selective State-Space Models	Jemma Daniel, Ruan John De Kock, Louay Ben Nessir, Sasha Abramowitz, Omayma Mahjoub, Wiem Khlifi, Juan Claude Formanek, Arnu Pretorius
860	Entropic Exploration for Constrained Multiagent Reinforcement Learning	Ayhan Alp Aydeniz, Enrico Marchesini, Robert Loftin, Christopher Amato, Kagan Tumer
862	Decision-Making in Evolving Environments: A Bayesian Multi-Agent Bandit Framework	Mohammad Essa Alsomali, Leandro Soriano Marcolino, Barry Porter, Roberto Rodrigues-Filho
863	CPE: A New Paradigm for Policy Extraction in Offline Reinforcement Learning	Zhaohui Yang, Xiaoxuan Wang, Linjing Li
869	Agential AI for Integrated Continual Learning	Deliberative Behavior, And Comprehensible Models, Zeki Doruk Erden, Boi Faltings	Link
876	Runtime Verification with Rational Multi-Monitors	Davide Catta, Angelo Ferrando, Vadim Malvone
877	Where is the nearest EV charging station? Evolutionary optimization of the gas/charging stations topology	Enrique Mateos-Melero, Javier Moralejo-Piñas, Ángela Durán-Pinto, Francisco Martinez-Gil, María Soriano, Fernando Fernández
890	Improving the effectiveness of potential-based reward shaping in reinforcement learning	Henrik Müller, Daniel Kudenko
897	Can you see how I learn? Human observers’ inferences about Reinforcement Learning agents’ learning processes	Bernhard Hilpert, Muhan Hou, Kim Baraka, Joost Broekens
906	Distributed Adaptive Macroscopic Ensemble Task Allocation of Heterogeneous Robot Teams in Dynamic Environments	Victoria Edwards, M. Ani Hsieh
949	Trading-off Accuracy and Communication Cost in Federated Learning	Mattia Jacopo Villani, Emanuele Natale, Frederik Mallmann-Trenn
951	When to Stop Getting Tested: The Theory of Diagnostic Tests	Anson Kahng, Joseph Saber
952	Cultural Evolution of Cooperation among LLM Agents	Aron Vallinder, Edward Hughes
957	Is an exponentially growing action space really that bad? Validating a Core Assumption for using Multi-Agent RL	Ruan John De Kock, Arnu Pretorius, Jonathan P. Shock
962	Adaptive Multi-Round Influence Maximization with Limited Information	Diodato Ferraioli, Vincenzo Auletta, Cosimo Vinci, Francesco Carbone
970	Weighted Envy Freeness With Bounded Subsidies	Noga Klein Elmalem, Rica Gonen, Erel Segal-Halevi
971	Combining Normative Ethics Principles to Learn Prosocial Behaviour	Jessica Woodgate, Nirav Ajmeri	Link
972	Participatory Budgeting Project Strength via Candidate Control	Piotr Faliszewski, Łukasz Janeczko, Dušan Knop, Jan Pokorný, Šimon Schierreich, Mateusz Słuszniak, Krzysztof Sornat
975	Bridging the Gap between Partially Observable Stochastic Games and Sparse POMDP Methods	Tyler Becker, Zachary N Sunberg
978	Towards Fair and Efficient Policy Learning in Cooperative Multi-Agent Reinforcement Learning	Umer Siddique, Peilang Li, Yongcan Cao
991	Diversity-seeking swap games in networks	Yaqiao Li, Lata Narayanan, Jaroslav Opatrny
993	(Submodular) Hedonic Games with Common Ranking Property	Bugra Caskurlu, Ali Eser
1002	Action-Dependent Optimality-Preserving Reward Shaping	Grant Collier Forbes, Jianxun Wang, Leonardo Villalobos-Arias, Arnav Jhala, David Roberts	Link
1018	Planning for Temporally Extended Goals based on alpha-CTL	Viviane Bonadia Dos Santos, Leliane N. De Barros, Maria Viviane De Menezes, Silvio Do Lago Pereira
1021	Efficient Multi-Agent Delegated Search	Curtis Bechtel, Shaddin Dughmi
1025	Fairness in Cooperative Multiagent Multiobjective Reinforcement Learning using the Expected Scalarized Reward Criterion	Fares Chouaki, Aurélie Beynier, Nicolas Maudet, Paolo Viappiani
1040	Formal Verification of Manipulation Dialogues	Andreas Brännström, Chiaki Sakama, Juan Carlos Nieves
1042	Learning to explore when mistakes are not allowed	Charly Pecqueux-Guézénec, Stephane Doncieux, Nicolas Perrin-Gilbert
1053	Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools	Panagiotis Lymperopoulos, Vasanth Sarathy
1070	DECAF: Learning to be Fair in Multi-agent Resource Allocation	Ashwin Kumar, William Yeoh
1073	Online Competitive Information Gathering for Partially Observable Trajectory Games	Mel Krusniak, Hang Xu, Parker Palermo, Forrest John Laine
1090	Diverse Heterogeneous Graph Conditioned Diffusion for Multi-Agent Teaming	Luis Manuel Pimentel, Sean Charles Ye, James Ellis Grant Pagan, Matthew Gombolay
1104	Symplex: Learning social norm hierarchies by combining autonomous exploration and expert imitation	Oliver Deane, Oliver Ray
1138	Weighted Envy-free Allocation with Subsidy	Haris Aziz, Xin Huang, Kei Kimura, Indrajit Saha, Zhaohong Sun, Mashbat Suzuki, Makoto Yokoo
1141	Learning Flexible Heterogeneous Coordination With Capability-Aware Shared Hypernetworks	Kevin Fu, Pierce Howell, Shalin Jain, Harish Ravichandar
1154	Evaluating and Improving Graph-based Explanation Methods for Multi-Agent Coordination	Siva Kailas, Shalin Jain, Harish Ravichandar
1155	Liquid Welfare and Revenue Monotonicity in Adaptive Clinching Auctions	Ryosuke Sato
1163	Open-World Classification with Bayesian Gaussian Mixture Models	Justin Clarke, Przemyslaw A. Grabowicz, David Jensen
1194	Asynchronous Cooperative Multi-Agent Reinforcement Learning with Limited Communication	Sydney Dolan, Siddharth Nayak, Jasmine Jerry Aloor, Hamsa Balakrishnan
1204	Resolving Multiple-Dynamic Model Uncertainty in Hypothesis-Driven Belief-MDPs	Ofer Dagan, Tyler Becker, Zachary N Sunberg
1210	Matching Markets with Chores	Thorben Tröbst, Jugal Garg, Vijay Vazirani
1216	EconTwo: A Two-Level Multi-Agent Framework for Dynamic Macroeconomic Modeling with Shock Resilience	Zhixun Chen, Zijing Shi, Yaodong Yang, Meng Fang, Yali Du
1237	Group-fair Facility Location Games with Externalities	Minming Li, Cheng Peng, Ying Wang, Houyu Zhou
1254	Using Assistance Rewards Without Introducing Bias: Overcoming Sparse Rewards in Multi-Agent Reinforcement Learning	Yue Yang, Bernd Meyer, Frits De Nijs
1262	Pure Nash Equilibrium and Strong Nash Equilibrum Computation in Aggregate Games	Jared Soundy, Mohammad T. Irfan, Hau Chan
1263	On the existence of EFX allocations in multigraphs	Alkmini Sgouritsa, Minas Marios Sotiriou	Link
1291	Decoding Negotiation Dynamics: The Impact of Opponent Identity and Privacy on Strategy	Deception, And Emotional Transparency In Human-Agent Interaction, Nusrath Jahan, Johnathan Mell
1297	Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning	Lunjun Liu, Weilai Jiang, Yaonan Wang
1308	Will Systems of LLM Agents Lead to Cooperation: An Investigation into a Social Dilemma	Richard Willis, Yali Du, Joel Z Leibo	Link
1335	To Stand on the Shoulders of Giants: Should We Protect Initial Discoveries in Multi-Agent Exploration?	Hodaya Lampert, Reshef Meir, Kinneret Teodorescu
1348	Coordinating Competing Electric Vehicle Fleets: An Agent-Based Charging Capacity Market	Lennard Sund, Janik Muires, Ramin Ahadi, Konstantina Valogianni, Wolfgang Ketter	Link
1359	Fusing Physical and Cognitive Stimuli: An Eye Movement Emotion Recognition Framework Based on Hierarchical Attention Mechanism	Zhi Lin Li, Xiaomei Tao
1366	Adaptive Microtolling in Competitive Online Congestion Games via Multiagent Reinforcement Learning	Behrad Koohy, Sebastian Stein, Enrico Gerding
1384	Context Adaptive Memory-Efficient LLM Inference for Edge Multi-Agent Systems	Hamza Mohammed, Sai Chand Boyapati, Hang Yin
1395	A Minimalist Approach to Augmentation-based Self-supervised Representation Learning for On-policy Reinforcement Learning	Nasik Muhammad Nafi, William Hsu