Table of Contents

• Responsible AI and Autonomous Agents: Governance, Ethics, and Sustainable InnovationVirginia Dignum. 1-2 [doi]
• The Agent Paradox: Can Multi-Agent Systems Replicate the Complexity of Human Cognition and Social Behavior?Rada Mihalcea. 3 [doi]
• Multiagent Systems, and the Search for Appropriate Foundations: A Personal Journey and RetrospectiveJeffrey S. Rosenschein. 4 [doi]
• Enhancing Offline Reinforcement Learning with Curriculum Learning-Based Trajectory ValuationAmir Abolfazli, Zekun Song, Avishek Anand, Wolfgang Nejdl. 5-13 [doi]
• Who Reviews The Reviewers? A Multi-Level Jury ProblemBen Abramowitz, Omer Lev, Nicholas Mattei. 14-22 [doi]
• An Improved Mechanism for Pricing Ride-Hailing FaresMarek Adamczyk, Maurycy Borkowski, Michal Pawlowski. 23-31 [doi]
• EFX Allocations and Orientations on Bipartite Multi-graphs: A Complete PictureMahyar Afshinmehr, Alireza Danaei, Mehrafarin Kazemi, Kurt Mehlhorn, Nidhi Rathi. 32-40 [doi]
• Harmonious Balanced Partitioning of a Network of AgentsPulkit Agarwal, Harshvardhan Agarwal, Vaibhav Raj, Swaprava Nath. 41-49 [doi]
• SCMRAG: Self-Corrective Multihop Retrieval Augmented Generation System for LLM AgentsRishabh Agrawal, Murtaza Asrani, Hadi Youssef, Apurva Narayan. 50-58 [doi]
• 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 ComprehensionOhenewa Bediako Akuffo, Birgit Lugrin. 59-68 [doi]
• Impact Measures for Gradual Argumentation SemanticsCaren Al Anaissy, Jérôme Delobelle, Srdjan Vesic, Bruno Yun. 69-77 [doi]
• Approximation Ratio for Preference Aggregation Using Tree CP-NetsAbu Mohammad Hammad Ali, Daniel Ogundare, Boting Yang, Sandra Zilles. 78-86 [doi]
• Geometric Freeze-Tag ProblemSharareh Alipour, Kajal Baghestani, Mahdis Mirzaei, Soroush Sahraei. 87-95 [doi]
• Robin Hood Reachability Bidding GamesShaull Almagor, Guy Avni, Neta Dafni. 96-104 [doi]
• A Hypothesis-Driven Approach to Explainable Goal RecognitionAbeer Alshehri, Hissah Alotaibi, Tim Miller 0001, Mor Vered. 105-114 [doi]
• Algorithmically Fair Maximization of Multiple Submodular Objective FunctionsGeorgios Amanatidis, Georgios Birmpas, Philip Lazos, Stefano Leonardi 0001, Rebecca Reiffenhäuser. 115-123 [doi]
• Truthful and Welfare-maximizing Resource Scheduling with Application to Electric VehiclesRamsundar Anandanarayanan, Swaprava Nath, Prasant Misra. 124-132 [doi]
• Model and Mechanisms of Consent for Responsible AutonomyAnastasia Sophia Apeiron, Davide Dell'Anna, Pradeep K. Murukannaiah, Pinar Yolum. 133-141 [doi]
• FORM: Learning Expressive and Transferable First-Order Logic Reward MachinesLeo Ardon, Daniel Furelos-Blanco, Roko Parac, Alessandra Russo. 142-151 [doi]
• Probably Correct Optimal Stable Matching for Two-Sided Market Under UncertaintyAndreas Athanasopoulos, Anne-Marie George, Christos Dimitrakakis. 152-160 [doi]
• Bidding Games on Markov Decision Processes with Quantitative Reachability ObjectivesGuy Avni, Martin Kurecka, Kaushik Mallik, Petr Novotný 0001, Suman Sadhukhan. 161-169 [doi]
• Fair Allocation of Divisible Goods under Non-Linear ValuationsHaris Aziz 0001, Zixu He, Xinhang Lu, Kaiyang Zhou. 170-178 [doi]
• Condorcet Winners and Anscombe's Paradox Under Weighted Binary VotingCarmel Baharav, Andrei Constantinescu 0001, Roger Wattenhofer. 179-187 [doi]
• Local Topological Information as a Powerful Enhancer for Generalizable Neural Method in Travelling Salesman ProblemXiaoxin Bai, JunYang Yang, Shengchao Yuan, Yinghao Zhang, Hanqian Wu. 188-196 [doi]
• On the Gale-Shapley Algorithm for Stable Matchings with a Partial Honesty Nash RefinementJames P. Bailey, Craig A. Tovey. 197-204 [doi]
• The Price of Anarchy in Spatial Social ChoiceJames P. Bailey, Craig A. Tovey. 205-213 [doi]
• Alternating-time Temporal Logic with Stochastic AbilitiesGabriel Ballot, Vadim Malvone, Jean Leneutre, Jingxuan Ma, Mourad Leslous. 214-222 [doi]
• An AI-Driven Card Playing Robot: An Empirical Study on Communicative Style and Embodiment with Elderly AdultsMichael Banck, Elisabeth Ganal, Hanna-Finja Weichert, Frank Puppe, Birgit Lugrin. 223-232 [doi]
• On the Complexity of Learning to Cooperate in Populations of Socially Rational AgentsSaptarashmi Bandyopadhyay, Mustafa Mert Çelikok, Robert Loftin. 233-241 [doi]
• Beyond Words: Integrating Personality Traits and Context-Driven Gestures in Human-Robot InteractionsTahsin Tariq Banna, Sejuti Rahman, Mohammad Tareq. 242-251 [doi]
• Neural DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable PoliciesKexin Gu Baugh, Luke Dickens, Alessandra Russo. 252-260 [doi]
• Sea-cret Agents: Maritime Abduction for Region Generation to Expose Dark Vessel TrajectoriesDivyagna Bavikadi, Nathaniel Lee, Paulo Shakarian, Chad Parvis. 261-270 [doi]
• Opinion Dynamics with Median AggregationPetra Berenbrink, Martin Hoefer 0001, Dominik Kaaser, Marten Maack, Malin Rau, Lisa Wilhelmi. 271-279 [doi]
• Speed vs Accuracy in Goal Recognition for Time-Sensitive Applications: A Game-Theoretic ApproachSara Bernardini, Fabio Fagnani, Santiago Franco. 280-288 [doi]
• To Spend or to Gain: Online Learning in Repeated Karma AuctionsDamien Berriaud, Ezzat Elokda, Devansh Jalota, Emilio Frazzoli, Marco Pavone 0001, Florian Dörfler. 289-297 [doi]
• Towards Envy-Freeness Relaxations for General Nonmonotone ValuationsUmang Bhaskar, Gunjan Kumar, Yeshwant Pandit, Rakshitha. 298-306 [doi]
• Maximizing Value in Challenge the Champ TournamentsUmang Bhaskar, Juhi Chaudhary, Palash Dey. 307-315 [doi]
• Agent-based Modeling and Simulation of Ambiguity in Catastrophe Insurance MarketsYu Bi, Lingxiao Zhao, Jinyun Tong, Zhe Feng, Carmine Ventre. 316-324 [doi]
• Equilibrium Analysis in Markets with Asymmetric Utility FunctionsMartin Bichler, Markus Ewert, Axel Ockenfels. 325-333 [doi]
• Temporal Network Creation Games: The Impact of Non-Locality and TerminalsDavide Bilò, Sarel Cohen, Tobias Friedrich 0001, Hans Gawendowicz, Nicolas Klodt, Pascal Lenzner, George Skretas. 334-342 [doi]
• Minimizing Rosenthal's Potential in Monotone Congestion GamesVittorio Bilò, Angelo Fanelli 0001, Laurent Gourvès, Christos Tsoufis, Cosimo Vinci. 343-351 [doi]
• Synergistic Traffic AssignmentThomas Bläsius, Adrian Feilhauer, Markus Jung, Moritz Laupichler, Peter Sanders 0001, Michael Zündorf. 352-360 [doi]
• EnEnv 1.0: Energy Grid Environment for Multi-Agent Reinforcement Learning BenchmarkingDominik Jacek Bogucki, Lukasz Lepak, Sonam Parashar, Bartlomiej Blachowski, Pawel Wawrzynski. 361-370 [doi]
• Monte Carlo Tree Search with Velocity Obstacles for Safe and Efficient Motion Planning in Dynamic EnvironmentsLorenzo Bonanni, Daniele Meli, Alberto Castellini, Alessandro Farinelli. 371-380 [doi]
• Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML MonitoringGusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Rodrigo M. Carrillo-Larco, Ajay Dholakia, David Ellison. 381-389 [doi]
• Computing Efficient Envy-Free Partial Allocations of Indivisible GoodsRobert Bredereck, Andrzej Kaczmarczyk 0001, Junjie Luo 0001, Bin Sun. 390-398 [doi]
• Compositional Shielding and Reinforcement Learning for Multi-Agent SystemsAsger Horn Brorholt, Kim Guldstrand Larsen, Christian Schilling 0001. 399-407 [doi]
• Scalable Offline Reinforcement Learning for Mean Field GamesAxel Brunnbauer, Julian Lemmel, Zahra Babaiee, Sophie A. Neubauer, Radu Grosu. 408-417 [doi]
• Welfare Approximation in Additively Separable Hedonic GamesMartin Bullinger, Vaggos Chatziafratis, Parnian Shahkar. 418-426 [doi]
• Towards Fair and Efficient Public Transportation: A Bus Stop ModelMartin Bullinger, Edith Elkind, Mohamad Latifian. 427-435 [doi]
• Who Am I Dealing With? Explaining the Designer's Hidden IntentionsTurgay Caglar, Sarath Sreedharan, Mor Vered. 436-444 [doi]
• Emit As You Go: Enumerating Edges of a Spanning TreeKatrin Casel, Stefan Neubert. 445-453 [doi]
• On the Fairness of Additive Welfarist RulesKaren Frilya Celine, Warut Suksompong, Sheung Man Yuen. 454-462 [doi]
• Game-Theoretically Secure Distributed Protocols for Fair Allocation in Coalitional GamesT.-H. Hubert Chan, Qipeng Kuang, Quan Xue. 463-471 [doi]
• Fair Division in a Variable SettingHarish Chandramouleeswaran, Prajakta Nimbhorkar, Nidhi Rathi. 472-480 [doi]
• Human-Agent Coordination in Games under Incomplete Information via Multi-Step IntentShenghui Chen, Ruihan Zhao 0001, Sandeep Chinchali, Ufuk Topcu. 481-489 [doi]
• Azorus: Commitments over Protocols for BDI AgentsAmit K. Chopra, Matteo Baldoni, Samuel Christie, Munindar P. Singh. 490-499 [doi]
• On the Limits of Agency in Agent-based ModelsAyush Chopra, Shashank Kumar, Nurullah Giray Kuru, Ramesh Raskar, Arnau Quera-Bofarull. 500-509 [doi]
• Computing Efficient and Envy-Free Allocations under Dichotomous Preferences using SATAri Conati, Andreas Niskanen, Ronald de Haan, Matti Järvisalo. 510-518 [doi]
• Byzantine Game Theory: Sun Tzu's BoxesAndrei Constantinescu 0001, Roger Wattenhofer. 519-528 [doi]
• Selfish Behavior and Resource Competition in Multi-Agent SystemsCostas Courcoubetis, Antonis Dimakis. 529-537 [doi]
• Approximation Algorithms for Connected Maximum CoverageGianlorenzo D'Angelo, Esmaeil Delfaraz. 538-546 [doi]
• Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal HealthArpan Dasgupta, Gagan Jain, Arun Sai Suggala, Karthikeyan Shanmugam, Milind Tambe, Aparna Taneja. 547-555 [doi]
• Greedy ABA Learning for Case-Based ReasoningEmanuele De Angelis, Maurizio Proietti, Francesca Toni. 556-564 [doi]
• More Efficient Sybil Detection Mechanisms Leveraging Resistance of Users to Attack RequestsAli Safarpoor-Dehkordi, Ahad N. Zehmakan. 565-573 [doi]
• Composing Reinforcement Learning Policies, with Formal GuaranteesFlorent Delgrange, Guy Avni, Anna Lukina, Christian Schilling 0001, Ann Nowé, Guillermo A. Pérez 0001. 574-583 [doi]
• Parameterized Algorithms for Multiagent Pathfinding on TreesArgyrios Deligkas, Eduard Eiben, Robert Ganian, Iyad Kanj, M. S. Ramanujan 0001. 584-592 [doi]
• From Natural Language to Extensive-Form Game RepresentationsShilong Deng, Yongzhao Wang 0001, Rahul Savani. 593-601 [doi]
• Safe Pareto Improvements for Expected Utility Maximizers in Program GamesAnthony DiGiovanni, Jesse Clifton, Nicolas Macé. 602-610 [doi]
• Hitchhiker's Guide to Patrolling: Path-Finding for Energy-Sharing Drone-UGV TeamsJonathan Diller, Qi Han 0001, Robert Byers, James Dotterweich, James Humann. 611-619 [doi]
• Learning Graph Representation of Agent DiffusersYoucef Djenouri, Nassim Belmecheri, Tomasz P. Michalak, Jan Dubinski, Ahmed Nabil Belbachir, Anis Yazidi. 620-629 [doi]
• Selecting Interlacing CommitteesChris Dong, Martin Bullinger, Tomasz Was, Larry Birnbaum, Edith Elkind. 630-638 [doi]
• Simulating and Evaluating Generative Modeling and Collaborative Filtering in Complex Social NetworksWen Dong, Fairul Mohd-Zaid. 639-648 [doi]
• Fast UCB-type Algorithms for Stochastic Bandits with Heavy and Super Heavy Symmetric NoiseYuriy Dorn, Aleksandr Katrutsa, Ilgam Latypov, Andrey Pudovikov. 649-657 [doi]
• Why Instant-Runoff Voting Is So Resilient to Coalitional Manipulation: Phase Transitions in the Perturbed CultureFrançois Durand. 658-666 [doi]
• Boosting Sortition via Proportional RepresentationSoroush Ebadian, Evi Micha. 667-675 [doi]
• Temporal Fair Division of Indivisible ItemsEdith Elkind, Alexander Lam, Mohamad Latifian, Tzeh Yuan Neoh, Nicholas Teh. 676-685 [doi]
• A Simple Integration of Epistemic Logic and Reinforcement LearningThorsten Engesser, Thibaut Le Marre, Emiliano Lorini, François Schwarzentruber, Bruno Zanuttini. 686-694 [doi]
• Mitigating Value Conflicts with Computational Theory of MindEmre Erdogan, Hüseyin Aydin, Frank Dignum, Rineke Verbrugge, Pinar Yolum. 695-703 [doi]
• Learning Real-Life Approval ElectionsPiotr Faliszewski, Lukasz Janeczko, Andrzej Kaczmarczyk 0001, Marcin Kurdziel, Grzegorz Pierczynski, Stanislaw Szufa. 704-712 [doi]
• FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHFFlint Xiaofeng Fan, Cheston Tan, Yew-Soon Ong, Roger Wattenhofer, Wei Tsang Ooi. 713-721 [doi]
• Automatic Verification of Linear Integer Planning Programs via Forgetting in LIAUPFLiangda Fang, Shikang Chen, Xiaoman Wang, Xiaoyou Lin, Chenyi Zhang 0001, Qingliang Chen, Quanlong Guan, Kaile Su. 722-730 [doi]
• Consistency Policy with Categorical Critic for Autonomous DrivingXing Fang, Qichao Zhang, Haoran Li 0010, Dongbin Zhao. 731-739 [doi]
• Translating Multi-Agent Modal Logics of Knowledge and Belief into Decidable First-Order FragmentsQihui Feng, Hannah Wilk, Shakil M. Khan 0001, Gerhard Lakemeyer. 740-748 [doi]
• Eliminating Majority IllusionFoivos Fioravantes, Abhiruk Lahiri, Antonio Lauerbach, Lluís Sabater, Marie Diana Sieper, Samuel Wolf. 749-757 [doi]
• On the Hardness of Fair Allocation under Ternary ValuationsZack Fitzsimmons, Vignesh Viswanathan, Yair Zick. 758-766 [doi]
• Non-obvious Manipulability in Hedonic Games with Friends Appreciation PreferencesMichele Flammini, Maria Fomenko, Giovanna Varricchio. 767-775 [doi]
• Higher-Order Belief in Incomplete Information MAIDsJack Foxabbott, Rohan Subramani, Francis Rhys Ward. 776-784 [doi]
• The Metric Distortion of Randomized Social Choice Functions: C1 Maximal Lottery Rules and SimulationsFabian Frank, Patrick Lederer. 785-793 [doi]
• Order Symmetry: A New Fairness Criterion for Assignment MechanismsRupert Freeman, Geoffrey Pritchard, Mark C. Wilson. 794-802 [doi]
• Learning Collusion in Episodic, Inventory-Constrained MarketsPaul Friedrich 0001, Barna Pásztor, Giorgia Ramponi. 803-812 [doi]
• Global Behavior of Learning Dynamics in Zero-Sum Games with Memory AsymmetryYuma Fujimoto, Kaito Ariu, Kenshi Abe. 813-819 [doi]
• Optimising Expectation with Guarantees for Window Mean Payoff in Markov Decision ProcessesPranshu Gaba, Shibashis Guha. 820-828 [doi]
• Changing the Rules of the Game: Reasoning About Dynamic Phenomena in Multi-Agent SystemsRustam Galimullin, Maksim Gladyshev, Munyque Mittelmann, Nima Motamed. 829-838 [doi]
• Fairly Allocating Goods in ParallelRohan Garg 0002, Alexandros Psomas 0001. 839-847 [doi]
• Voter Model Meets Rumour Spreading: A Study of Consensus Protocols on Graphs with Agnostic NodesMarcelo Matheus Gauy, Anna Abramishvili, Eduardo Colli, Tiago Madeira, Frederik Mallmann-Trenn, Vinícius Franco Vasconcelos, David Kohan Marzagão. 848-857 [doi]
• On Learning Informative Trajectory Embeddings for Imitation, Classification and RegressionZichang Ge, Changyu Chen, Arunesh Sinha, Pradeep Varakantham. 858-866 [doi]
• MOSMAC: A Multi-agent Reinforcement Learning Benchmark on Sequential Multi-Objective TasksMinghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan. 867-876 [doi]
• Certified Guidance for Planning with Deep Generative ModelsFrancesco Giacomarra, Mehran Hosseini, Nicola Paoletti, Francesca Cairoli. 877-885 [doi]
• Predictability Awareness for Efficient and Robust Multi-Agent CoordinationRoman Chiva Gil, Daniel Jarne Ornia, Khaled A. Mustafa, Javier Alonso-Mora. 886-894 [doi]
• Simplifying Imperfect Recall GamesHugo Gimbert, Soumyajit Paul, B. Srivathsan. 895-903 [doi]
• Policy Graphs and Intention: Answering 'Why' and 'How' from a Telic PerspectiveVictor Gimenez-Abalos, Sergio Álvarez-Napagao, Adrián Tormos, Ulises Cortés, Javier Vázquez-Salceda. 904-913 [doi]
• Approximating One-Sided and Two-Sided Nash Social Welfare With CapacitiesSalil Gokhale, Harshul Sagar, Rohit Vaish, Jatin Yadav. 914-922 [doi]
• Fairness and Optimality in RoutingSreenivas Gollapudi, Kostas Kollias, Alkmini Sgouritsa, Ali Kemal Sinop. 923-931 [doi]
• Extending Consensus-based Task Allocation Algorithms with Bid Intercession to Foster Mixed-InitiativeVictor Guillet, Charles Lesire, Gauthier Picard, Christophe Grand. 932-940 [doi]
• On the Power of Temporal Locality on Online Routing ProblemsSwapnil Guragain, Gokarna Sharma. 941-949 [doi]
• Coherence-Driven Multimodal Safety Dialogue with Active Learning for Embodied AgentsSabit Hassan, Hye-Young Chung, Xiang Zhi Tan, Malihe Alikhani. 950-959 [doi]
• Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination DynamicsSomnath Hazra, Pallab Dasgupta, Soumyajit Dey. 960-968 [doi]
• Learning in Games with Progressive HidingBenjamin Heymann, Marc Lanctot. 969-977 [doi]
• LTL Verification of Memoryful Neural AgentsMehran Hosseini, Alessio Lomuscio, Nicola Paoletti. 978-987 [doi]
• Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian NetworkVincent Hsiao, Mark Roberts, Laura M. Hiatt, George Dimitri Konidaris, Dana S. Nau. 988-996 [doi]
• PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement LearningKun Hu, Muning Wen, Xihuai Wang, Shao Zhang, Yiwei Shi, Minne Li, Minglong Li, Ying Wen 0001. 997-1005 [doi]
• Truthful Mechanisms for Linear Bandit Games with Private ContextsYiting Hu, Lingjie Duan. 1006-1014 [doi]
• CAMP: Collaborative Attention Model with Profiles for Vehicle Routing ProblemsChuanbo Hua, Federico Berto, Jiwoo Son, Seunghyun Kang, Changhyun Kwon 0001, Jinkyoo Park. 1015-1024 [doi]
• Human-Aligned Skill Discovery: Balancing Behaviour Exploration and AlignmentMaxence Hussonnois, Thommen George Karimpanal, Santu Rana. 1025-1033 [doi]
• Responsible Uplift ModelingLihi Idan, Ming Li. 1034-1041 [doi]
• Taming Multi-Agent Reinforcement Learning with Estimator Variance ReductionTaher Jafferjee, Juliusz Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang 0012, David Mguni. 1042-1050 [doi]
• Probabilistic Timed ATLWojciech Jamroga, Marta Kwiatkowska, Wojciech Penczek, Laure Petrucci, Teofil Sidoruk. 1051-1059 [doi]
• Tackling Sparsity in Designated Driver Dispatch with Multi-Agent Reinforcement LearningJiaxuan Jiang, Ling Pan, Lin Zhou, Longbo Huang, Zhixuan Fang. 1060-1069 [doi]
• Full Proportional Justified RepresentationYusuf Hakan Kalayci, Jiasen Liu, David Kempe 0001. 1070-1078 [doi]
• A View of the Certainty-Equivalence Method for PAC RL as an Application of the Trajectory Tree MethodShivaram Kalyanakrishnan, Sheel Shah, Santhosh Kumar Guguloth. 1079-1087 [doi]
• Game of Thoughts: Iterative Reasoning in Game-Theoretic Domains with Large Language ModelsBenjamin Kempinski, Ian Gemp, Kate Larson, Marc Lanctot, Yoram Bachrach, Tal Kachman. 1088-1097 [doi]
• Causes and Strategies in Multiagent SystemsSylvia S. Kerkhove, Natasha Alechina, Mehdi Dastani. 1098-1106 [doi]
• GUIDE-CoT: Goal-driven and User-Informed Dynamic Estimation for Pedestrian Trajectory using Chain-of-ThoughtSungsik Kim, Janghyun Baek, Jinkyu Kim, Jaekoo Lee. 1107-1116 [doi]
• Practical Abstractions for Model Checking Continuous-Time Multi-Agent SystemsYan Kim, Wojciech Jamroga, Wojciech Penczek, Laure Petrucci. 1117-1126 [doi]
• k-ApprovalVeto: A Spectrum of Voting Rules Balancing Metric Distortion and Minority ProtectionFatih Erdem Kizilkaya, David Kempe 0001. 1127-1135 [doi]
• Robustness of Epistemic Gossip Protocols Against Data LossYoshikatsu Kobayashi, Koji Hasebe. 1136-1144 [doi]
• Ranking Joint Policies in Dynamic Games using Evolutionary DynamicsNatalia Koliou, George A. Vouros. 1145-1153 [doi]
• Uncertain Machine Ethics PlanningSimon Kolker, Louise A. Dennis, Ramon Fraga Pereira, Mengwei Xu. 1154-1162 [doi]
• Policy Abstraction and Nash Refinement in Tree-Exploiting PSROChristine Konicki, Mithun Chakraborty, Michael P. Wellman. 1163-1171 [doi]
• Free Argumentative Exchanges for Explaining Image ClassifiersAvinash Kori, Antonio Rago 0001, Francesca Toni. 1172-1180 [doi]
• Offline Multi-Agent Preference-based Reinforcement Learning with Agent-aware Direct Preference OptimizationQian Kou, Mingyang Li, Zeyang Liu 0001, Long Qian, Zhuoran Chen, Lipeng Wan 0003, Xingyu Chen, Xuguang Lan. 1181-1190 [doi]
• Game Theory with Simulation in the Presence of Unpredictable RandomisationVojtech Kovarík, Nathaniel Sauerberg, Lewis Hammond, Vincent Conitzer. 1191-1199 [doi]
• Tighter Value-Function Approximations for POMDPsMerlijn Krale, Wietze Koops, Sebastian Junges, Thiago D. Simão, Nils Jansen 0001. 1200-1208 [doi]
• The Bakers and Millers Game with Restricted LocationsSimon Krogmann, Pascal Lenzner, Alexander Skopalik. 1209-1217 [doi]
• Near-Linear Time Leader Election in Multiagent NetworksAjay D. Kshemkalyani, Manish Kumar, Anisur Rahaman Molla, Gokarna Sharma. 1218-1226 [doi]
• Dynamic Coalition Structure Detection in Natural-Language-based InteractionsAbhishek Ninad Kulkarni, Andy Liu, Jean-Raphaël Gaglione, Daniel Fried, Ufuk Topcu. 1227-1234 [doi]
• Emergence of Recursive Language through Bootstrapping and Iterated LearningVikas Kumar, Ajin George Joseph. 1235-1243 [doi]
• AdaCred: Adaptive Causal Decision Transformers with Feature CreditingHemant Kumawat, Saibal Mukhopadhyay. 1244-1252 [doi]
• Soft Condorcet Optimization for Ranking of General AgentsMarc Lanctot, Kate Larson, Michael Kaisers, Quentin Berthet, Ian Gemp, Manfred Diaz, Roberto-Rafael Maura-Rivero, Yoram Bachrach, Anna Koop, Doina Precup. 1253-1262 [doi]
• MacLight: Multi-scene Aggregation Convolutional Learning for Traffic Signal ControlSunbowen Lee, Hongqin Lyu, Yicheng Gong, Yingying Sun, Chao Deng. 1263-1271 [doi]
• Timed Obstruction Logic: A Timed Approach to Dynamic Game ReasoningJean Leneutre, Vadim Malvone, James Ortiz 0001. 1272-1281 [doi]
• Curiosity-Driven Partner Selection Accelerates Convention Emergence in Language GamesChin-wing Leung, Paolo Turrini, Ann Nowé. 1282-1290 [doi]
• Self-Supervised Multi-Agent Diversity with Nonparametric Entropy MaximizationTianxu Li, Kun Zhu 0001. 1291-1299 [doi]
• OGS-SLAM: Hybrid ORB-Gaussian Splatting SLAMXiaohan Li, Wenxiang Shen, Dong Liu, Jun Wu. 1300-1308 [doi]
• Rational Capability in Concurrent GamesYinfeng Li, Emiliano Lorini, Munyque Mittelmann. 1309-1317 [doi]
• Nucleolus Credit Assignment for Effective Coalitions in Multi-agent Reinforcement LearningYugu Li, Zehong Cao, Jianglin Qiao, Siyi Hu. 1318-1326 [doi]
• Dynamic Sight Range Selection in Multi-Agent Reinforcement LearningWei-Chen Liao, Ti-Rong Wu, I-Chen Wu. 1327-1335 [doi]
• Adaptive Bi-Level Multi-Robot Task Allocation and Learning under Uncertainty with Temporal Logic ConstraintsXiaoshan Lin, Roberto Tron. 1336-1344 [doi]
• Reinforcement Learning-based Approach for Vehicle-to-Building Charging with Heterogeneous Agents and Long Term RewardsFangqi Liu, Rishav Sen, Jose Paolo Talusan, Ava Pettet, Aaron Kandel, Yoshinori Suzue, Ayan Mukhopadhyay, Abhishek Dubey. 1345-1353 [doi]
• Efficient and Optimal Policy Gradient Algorithm for Corrupted Multi-armed BanditsJiayuan Liu, Siwei Wang, Zhixuan Fang. 1354-1361 [doi]
• Teamwork Makes the Defense Work: Comprehensive Vulnerability Defense Resource AllocationSiyu Liu, Rida A. Bazzi, Fei Fang, Tiffany Bao. 1362-1370 [doi]
• Games in Public Announcement: How to Reduce System Losses in Optimistic Blockchain MechanismsSiyuan Liu, Yulong Zeng. 1371-1379 [doi]
• Data Pricing for Graph Neural Networks without Pre-purchased InspectionYiping Liu, Mengxiao Zhang, Jiamou Liu, Song Yang 0001. 1380-1388 [doi]
• Leveraging Score-based Models for Generating Penalization in Model-based Offline Reinforcement LearningZeyuan Liu, Zhirui Fang, Jiafei Lyu, Xiu Li 0001. 1389-1398 [doi]
• MAGNET: A Multi-Agent Graph Neural Network for Efficient Bipartite Task AssignmentDonald Loveland, James Usevitch, Zachary Serlin, Danai Koutra, Rajmonda Caceres. 1399-1407 [doi]
• Multi-Ship Future Interaction Trajectory Prediction via Pre-Initializer Diffusion ModelKun Ma, Qilong Han, Jingzheng Yao. 1408-1417 [doi]
• Minimizing Makespan with Conflict-Based Search for Optimal Multi-Agent Path FindingAmir Maliah, Dor Atzmon, Ariel Felner. 1418-1426 [doi]
• Beyond Goal Recognition: A Reinforcement Learning-based Approach to Inferring Agent BehaviourSheryl Mantik, Michael Dann, Minyi Li 0001, Huong Ha 0001, Julie Porteous. 1427-1435 [doi]
• Multi-agent Multi-armed Bandits with Minimum Reward Guarantee FairnessPiyushi Manupriya, Himanshu, Saketha Nath Jagarlapudi, Ganesh Ghalme. 1436-1444 [doi]
• On Stateful Value Factorization in Multi-Agent Reinforcement LearningEnrico Marchesini, Andrea Baisero, Rupali Bhati, Christopher Amato. 1445-1453 [doi]
• ApproxED: Approximate Exploitability Descent via Learned Best ResponsesCarlos Martin 0001, Tuomas Sandholm. 1454-1463 [doi]
• Improving Policy Optimization via ε-RetrainLuca Marzari, Priya L. Donti, Changliu Liu, Enrico Marchesini. 1464-1472 [doi]
• Discovery and Deployment of Emergent Robot Swarm Behaviors via Representation Learning and Real2Sim2Real TransferConnor Mattson, Varun Raveendra, Ricardo Vega, Cameron Nowzari, Daniel S. Drew, Daniel S. Brown. 1473-1482 [doi]
• Generalised BDI PlanningFelipe Meneguzzi, Ramon Fraga Pereira, Nir Oren. 1483-1491 [doi]
• Multi-agent Reinforcement Learning in the All-or-Nothing Public Goods game on NetworksBenedikt Valentin Meylahn. 1492-1500 [doi]
• Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit AssignmentKartik Nagpal, Dayi Dong, Negar Mehr. 1501-1510 [doi]
• Explaining Facial Expression RecognitionSanjeev Nahulanthran, Leimin Tian, Dana Kulic, Mor Vered. 1511-1519 [doi]
• Evaluation-Time Policy Switching for Offline Reinforcement LearningNatinael Solomon Neggatu, Jeremie Houssineau, Giovanni Montana. 1520-1528 [doi]
• Resource Task GamesJessica L. Newman, Enrico H. Gerding, Enrico Marchioni, Baharak Rastegari. 1529-1537 [doi]
• Personality-Driven Decision Making in LLM-Based Autonomous AgentsLewis Newsham, Daniel Prince. 1538-1547 [doi]
• Contrastive Explainable Clustering with Differential PrivacyDung Nguyen 0002, Ariel Vetzler, Sarit Kraus, Anil Vullikanti. 1548-1556 [doi]
• DUPRE: Data Utility Prediction for Efficient Data ValuationKieu Thao Nguyen Pham, Rachael Hwee Ling Sim, Quoc Phong Nguyen, See-Kiong Ng, Bryan Kian Hsiang Low. 1557-1565 [doi]
• Counterfactual Explanations for Model Ensembles Using Entropic Risk MeasuresErfaun Noorani, Pasan Dissanayake, Faisal Hamman, Sanghamitra Dutta. 1566-1575 [doi]
• Conformal Set-based Human-AI Complementarity with Multiple ExpertsHelbert Paat, Guohao Shen. 1576-1585 [doi]
• Together We Rise: Optimizing Real-Time Multi-Robot Task Allocation using Coordinated Heterogeneous PlaysAritra Pal, Anandsingh Chauhan, Mayank Baranwal. 1586-1594 [doi]
• Smooth Information Gathering in Two-Player Noncooperative GamesFernando Palafox, Jesse Milzman, Dong-Ho Lee, Ryan Park, David Fridovich-Keil. 1595-1603 [doi]
• Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing ProblemsYuxin Pan, Ruohong Liu, Yize Chen, Zhiguang Cao, Fangzhen Lin. 1604-1612 [doi]
• An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative TasksGeorge Papadopoulos 0006, Andreas Kontogiannis, Foteini Papadopoulou, Chaido Poulianou, Ioannis Koumentis, George A. Vouros. 1613-1622 [doi]
• Enhancing Graph-based Coordination with Evolutionary Algorithms for Episodic Multi-agent Reinforcement LearningKexing Peng, Pengyi Li 0001, Jianye Hao. 1623-1631 [doi]
• Multi-objective Reinforcement Learning with Nonlinear Preferences: Provable Approximation for Maximizing Expected Scalarized ReturnNianli Peng, Muhang Tian, Brandon Fain. 1632-1640 [doi]
• ShipNaviSim: Data-Driven Simulation for Real-World Maritime NavigationQuang Anh Pham, Janaka Chathuranga Brahmanage, Akshat Kumar. 1641-1649 [doi]
• Artificial Agents Mitigate The Punishment Dilemma Of Indirect ReciprocityAlexandre S. Pires, Fernando P. Santos. 1650-1659 [doi]
• Anytime Fairness Guarantees in Stochastic Combinatorial MABs: A Novel Learning FrameworkSubham Pokhriyal, Shweta Jain 0002, Ganesh Ghalme, Vaneet Aggarwal. 1660-1669 [doi]
• Indifferential Privacy: A New Paradigm and Its Applications to Optimal Matching in Dark Pool AuctionsAntigoni Polychroniadou, T.-H. Hubert Chan, Adya Agrawal. 1670-1678 [doi]
• EconoJax: A Fast & Scalable Economic Simulation in JAXKoen Ponse, Aske Plaat, Niki van Stein, Thomas M. Moerland. 1679-1687 [doi]
• Decentralized Planning Using Probabilistic HyperpropertiesFrancesco Pontiggia, Filip Macák, Roman Andriushchenko, Michele Chiari, Milan Ceska 0002. 1688-1697 [doi]
• Uncertainty Expression for Human-Robot Task CommunicationDavid Porfirio, Mark Roberts, Laura M. Hiatt. 1698-1707 [doi]
• Combining Planning and Reinforcement Learning for Solving Relational Multiagent DomainsNikhilesh Prabhakar, Ranveer Singh, Harsha Kokel, Sriraam Natarajan, Prasad Tadepalli. 1708-1717 [doi]
• Reinforcement Learning Based Simulated AnnealingNathan Qiu, Daniel Liang. 1718-1726 [doi]
• Planning, Scheduling, and Execution on the Moon: The CADRE Technology Demonstration MissionGregg R. Rabideau, Joseph A. Russino, Andrew Branch, Nihal Dhamani, Tiago Stegun Vaquero, Steve A. Chien, Jean-Pierre de la Croix, Federico Rossi 0001. 1727-1735 [doi]
• Reputation-Filtered Reward Reshaping: Encouraging Cooperation in High Dimensional Semi-Cooperative Multi-agent SettingsHassan Raissouni, Wissal Bekhti, Btissam El Khamlichi, Amal El Fallah-Seghrouchni. 1736-1744 [doi]
• Bottom-Up Reputation Promotes Cooperation with Multi-Agent Reinforcement LearningTianyu Ren, Xuan Yao, Yang Li, Xiao-Jun Zeng. 1745-1754 [doi]
• The Effect of Agent-based Feedback on Prosociality in Social DilemmasJennifer Renoux, Filipa Correia, Joana Campos 0001, Lucas Morillo-Mendez, Neziha Akalin, Fernando P. Santos, Ana Paiva 0001. 1755-1763 [doi]
• Real-World Testing Matters in Reinforcement Learning for EducationAnna Riedmann, Carlo D'Eramo, Birgit Lugrin. 1764-1773 [doi]
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• On Some Fundamental Problems for Multi-Agent Systems Over Multilayer NetworksDaniel J. Rosenkrantz, Madhav V. Marathe, Zirou Qiu, S. S. Ravi, Richard Edwin Stearns. 1784-1792 [doi]
• Factorised Active Inference for Strategic Multi-Agent InteractionsJaime Ruiz-Serra, Patrick Sweeney, Michael S. Harré. 1793-1802 [doi]
• Multi-Objective Planning with Contextual Lexicographic Reward PreferencesPulkit Rustagi, Yashwanthi Anand, Sandhya Saisubramanian. 1803-1811 [doi]
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• Surprise! Surprise! Learn and AdaptHuma Samin, Dylan J. Walton, Nelly Bencomo. 1821-1829 [doi]
• Training Language Models for Social Deduction with Multi-Agent Reinforcement LearningBidipta Sarkar, Warren Xia, C. Karen Liu, Dorsa Sadigh. 1830-1839 [doi]
• Formalising Overdetermination in a Labelled Transition SystemCamilo Sarmiento, Gauvain Bourgne, Jean-Gabriel Ganascia. 1840-1848 [doi]
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• Candidate Nomination for Condorcet-consistent Voting RulesIldikó Schlotter, Katarína Cechlárová. 1858-1866 [doi]
• The Strong Core of Housing Markets with Partial Order PreferencesIldikó Schlotter, Lydia Mirabel Mendoza Cadena. 1867-1875 [doi]
• Socratic: Enhancing Human Teamwork via AI-enabled CoachingSangwon Seo, Bing Han, Rayan Ebnali Harari, Roger D. Dias, Marco A. Zenati, Eduardo Salas, Vaibhav V. Unhelkar. 1876-1885 [doi]
• Hierarchical Imitation Learning of Team Behavior from Heterogeneous DemonstrationsSangwon Seo, Vaibhav V. Unhelkar. 1886-1894 [doi]
• Towards Efficient Online Goal Recognition through Deep LearningLorenzo Serina, Mattia Chiari, Alfonso Emilio Gerevini, Luca Putelli, Ivan Serina. 1895-1903 [doi]
• Learning Symbolic Task Decompositions for Multi-Agent TeamsAmeesh Shah, Niklas Lauffer, Thomas Chen, Nikhil Pitta, Sanjit A. Seshia. 1904-1913 [doi]
• Learning with Limited Shared Information in Multi-agent Multi-armed BanditJunning Shao, Siwei Wang, Zhixuan Fang. 1914-1922 [doi]
• Incentivizing Truth Exploration and Honest Reporting: A Contract Design ApproachYuming Shao, Zhixuan Fang. 1923-1931 [doi]
• xSRL: Safety-Aware Explainable Reinforcement Learning - Safety as a Product of ExplainabilityRisal Shahriar Shefin, Md Asifur Rahman, Thai Le, Sarra Alqahtani. 1932-1940 [doi]
• Modeling the Centaur: Human-Machine Synergy in Sequential Decision MakingDavid Shoresh, Yonatan Loewenstein. 1941-1949 [doi]
• Tackling Temporal Deontic Challenges with Equilibrium LogicDavide Soldà, Pedro Cabalar, Agata Ciabattoni, Emery A. Neufeld. 1950-1958 [doi]
• Housing Market on NetworksXinwei Song, Tianyi Yang, Dengji Zhao. 1959-1967 [doi]
• An Organizationally-Oriented Approach to Enhancing Explainability and Control in Multi-Agent Reinforcement LearningJulien Soulé, Jean-Paul Jamont, Michel Occello, Louis-Marie Traonouez, Paul Théron. 1968-1976 [doi]
• Revisiting Communication Efficiency in Multi-Agent Reinforcement Learning from the Dimensional Analysis PerspectiveChuxiong Sun, Peng He, Rui Wang 0079, Changwen Zheng. 1977-1986 [doi]
• Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement LearningJingbo Sun, Songjun Tu, Qichao Zhang, Ke Chen, Dongbin Zhao. 1987-1995 [doi]
• The Many Challenges of Human-Like Agents in Virtual Game EnvironmentsMaciej Swiechowski, Dominik Slezak. 1996-2005 [doi]
• Value Iteration for Learning Concurrently Executable Robotic Control TasksSheikh A. Tahmid, Gennaro Notomista. 2006-2014 [doi]
• Ready, Bid, Go! On-Demand Delivery Using Fleets of Drones with Unknown, Heterogeneous Energy Storage ConstraintsMohamed S. Talamali, Genki Miyauchi, Thomas Watteyne, Micael S. Couceiro, Roderich Groß. 2015-2023 [doi]
• The Degree of (Extended) Justified Representation and Its OptimizationBiaoshuai Tao, Chengkai Zhang, Houyu Zhou. 2024-2032 [doi]
• Logic of Knowledge and Cognitive AbilityJia Tao, Xinran Zhang. 2033-2041 [doi]
• EduQate: Generating Adaptive Curricula through RMABs in Education SettingsSidney Tio, Dexun Li, Pradeep Varakantham. 2042-2050 [doi]
• Large Language Models for Virtual Human Gesture SelectionParisa Ghanad Torshizi, Laura B. Hensel, Ari Shapiro, Stacy C. Marsella. 2051-2059 [doi]
• Conditional Max-Sum for Asynchronous Multiagent Decision MakingDimitrios Troullinos, Georgios Chalkiadakis, Ioannis Papamichail, Markos Papageorgiou. 2060-2068 [doi]
• Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language ModelSongjun Tu, Jingbo Sun, Qichao Zhang, Xiangyuan Lan, Dongbin Zhao. 2069-2077 [doi]
• Maximizing Truth Learning in a Social Network is NP-hardFilip Úradník, Amanda Wang, Jie Gao. 2078-2086 [doi]
• Networked Agents in the Dark: Team Value Learning under Partial ObservabilityGuilherme S. Varela, Alberto Sardinha, Francisco S. Melo. 2087-2095 [doi]
• HAVA: Hybrid Approach to Value-Alignment through Reward Weighing for Reinforcement LearningKryspin Varys, Federico Cerutti 0001, Adam J. Sobey, Timothy J. Norman. 2096-2104 [doi]
• A Minimax Approach to Ad Hoc TeamworkVictor Villin, Thomas Kleine Buening, Christos Dimitrakakis. 2105-2114 [doi]
• Implicit Repair with Reinforcement Learning in Emergent CommunicationFábio Vital, Alberto Sardinha, Francisco S. Melo. 2115-2124 [doi]
• FLIGHT: Facility Location Integrating Generalized, Holistic Theory of WelfareAvyukta Manjunatha Vummintala, Shivam Gupta 0004, Shweta Jain 0002, Sujit Gujar. 2125-2133 [doi]
• InCLET: Large Language Model In-context Learning can Improve Embodied Instruction-followingPeng-Yuan Wang, Jing-Cheng Pang, Chenyang Wang, Xu-Hui Liu, Tian-Shuo Liu, Si-Hang Yang, Hong Qian, Yang Yu. 2134-2142 [doi]
• On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite FlowTonghan Wang 0001, Heng Dong 0001, Yanchen Jiang, David C. Parkes, Milind Tambe. 2143-2152 [doi]
• ReSCOM: Reward-Shaped Curriculum for Efficient Multi-Agent Communication LearningXinghai Wei, Tingting Yuan 0001, Jie Yuan 0001, Dongxiao Liu, Xiaoming Fu 0001. 2153-2161 [doi]
• Goal Recognition via Variational CausalityJiaqi Wen, Leonardo Amado. 2162-2170 [doi]
• A Scoresheet for Explainable AIMichael Winikoff, John Thangarajah, Sebastian Rodriguez. 2171-2180 [doi]
• FGLight: Learning Neighbor-level Information for Traffic Signal ControlHang Xiao, Huale Li, Shuhan Qi, Jiajia Zhang 0001, Dingzhong Cai. 2181-2189 [doi]
• ACORN: Acyclic Coordination with Reachability Network to Reduce Communication Redundancy in Multi-Agent SystemsYi Xie, Ziqing Zhou, Chun Ouyang 0002, Siao Liu, Linqiang Hu, Zhongxue Gan. 2190-2198 [doi]
• Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource AllocationGuojun Xiong, Haichuan Wang, Yuqi Pan, Saptarshi Mandal, Sanket Shah, Niclas Boehmer, Milind Tambe. 2199-2207 [doi]
• On the Effective Horizon of Inverse Reinforcement LearningYiqing Xu, Finale Doshi-Velez, David Hsu. 2208-2216 [doi]
• Uncertainty-Aware Opponent Modeling for Deep Reinforcement LearningLikun Yang, Pei Xu, Shiyue Cao, Yongjian Ren, Xiaotang Chen, Kaiqi Huang. 2217-2225 [doi]
• Dual Ensembled Multiagent Q-Learning with Hypernet RegularizerYaodong Yang 0002, Guangyong Chen, Hongyao Tang, Furui Liu, Danruo Deng, Pheng-Ann Heng. 2226-2234 [doi]
• Self-Interpretable Reinforcement Learning via Rule EnsemblesYue Yang, Fan Yang, Yu Bai, Hao Wang. 2235-2243 [doi]
• Asymptotic Existence of Class Envy-free MatchingsTomohiko Yokoyama, Ayumi Igarashi 0001. 2244-2252 [doi]
• Adaptive Episode Length Adjustment for Multi-agent Reinforcement LearningByunghyun Yoo, Younghwan Shin, Hyunwoo Kim, Euisok Chung, Jeongmin Yang. 2253-2261 [doi]
• Task-Agnostic Contrastive pre-Training for Inter-Agent CommunicationPeihong Yu, Manav Mishra, Syed Zaidi, Pratap Tokekar. 2262-2270 [doi]
• Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive ExplorationXingrui Yu, Zhenglin Wan, David Mark Bossens, Yueming Lyu, Qing Guo 0005, Ivor W. Tsang. 2271-2280 [doi]
• Insights Regarding the Success of Damping in Improving Belief PropagationUriel Zaed, Omer Lev, Roie Zivan. 2281-2289 [doi]
• Enhancing Sub-Optimal Trajectory Stitching: Spatial Composition RvS for Offline RLSheng Zang, Zhiguang Cao, Bo An 0001, Senthilnath Jayavelu, Xiaoli Li 0001. 2290-2298 [doi]
• Loss of Plasticity: A New Perspective on Solving Multi-Agent Exploration for Sparse Reward TasksZehua Zang, Chuxiong Sun, Lixiang Liu, Fuchun Sun 0001, Changwen Zheng. 2299-2308 [doi]
• On the Structure of EFX Orientations on GraphsJinghan A. Zeng, Ruta Mehta. 2309-2316 [doi]
• β-DQN: Improving Deep Q-Learning By Evolving the BehaviorHongming Zhang 0003, Fengshuo Bai, Chenjun Xiao, Chao Gao, Bo Xu 0002, Martin Müller 0003. 2317-2326 [doi]
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• Offline Goal-Conditioned Reinforcement Learning with Elastic-Subgoal Diffused Policy LearningYaocheng Zhang, Yuanheng Zhu, Yuqian Fu, Songjun Tu, Dongbin Zhao. 2336-2344 [doi]
• Unveiling Decision Intention for Cooperative Multi-Agent Reinforcement LearningZeren Zhang, Zhiwei Xu 0005, Guangchong Zhou, Dapeng Li 0001, Bin Zhang 0052, Guoliang Fan. 2345-2354 [doi]
• Agent-Based Analysis of Green Disclosure Policies and Their Market-Wide Impact on Firm BehaviorLingxiao Zhao, Maria Polukarov, Carmine Ventre. 2355-2363 [doi]
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• Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential ExplorationHai Zhong, Xun Wang 0013, Zhuoran Li, Longbo Huang. 2373-2381 [doi]
• Single-Agent Planning in a Multi-Agent System: A Unified Framework for Type-Based PlannersFengming Zhu, Fangzhen Lin. 2382-2391 [doi]
• Robust Policy Learning for Multi-UAV Collision Avoidance with Causal Feature SelectionJiafan Zhuang, Gaofei Han, Zihao Xia, Che Lin, Boxi Wang, Dongliang Wang, Wenji Li, Zhifeng Hao, Ruichu Cai, Zhun Fan. 2392-2401 [doi]
• Decision-Making in Evolving Environments: A Bayesian Multi-Agent Bandit FrameworkMohammad Essa Alsomali, Leandro Soriano Marcolino, Barry Porter, Roberto Rodrigues Filho. 2402-2404 [doi]
• Combining LLMs with a Logic-Based Framework to Explain MCTSZiyan An, Xia Wang, Hendrik Baier, Zirong Chen, Abhishek Dubey, Taylor T. Johnson, Jonathan Sprinkle, Ayan Mukhopadhyay, Meiyi Ma. 2405-2407 [doi]
• Adaptive Multi-Round Influence Maximization with Limited InformationVincenzo Auletta, Francesco Carbone, Diodato Ferraioli, Cosimo Vinci. 2408-2410 [doi]
• Safe Entropic Agents under Team ConstraintsAyhan Alp Aydeniz, Enrico Marchesini, Robert Loftin, Christopher Amato, Kagan Tumer. 2411-2413 [doi]
• Group Fairness in Multi-period Mobile Facility Location ProblemsHaris Aziz 0001, Hau Chan, Xingchen Sha, Toby Walsh, Lirong Xia. 2414-2416 [doi]
• Weighted Envy-free Allocation with SubsidyHaris Aziz 0001, Xin Huang, Kei Kimura, Indrajit Saha, Zhaohong Sun 0001, Mashbat Suzuki, Makoto Yokoo. 2417-2419 [doi]
• Neighborhood Stability in Assignments on GraphsHaris Aziz 0001, Grzegorz Lisowski, Mashbat Suzuki, Jeremy Vollen. 2420-2422 [doi]
• On the Distortion of Multi-Winner Elections on the Line MetricNegar Babashah, Hasti Karimi, Masoud Seddighin, Golnoosh Shahkarami. 2423-2425 [doi]
• Interaction Protocols in an Imperative Agent-Oriented Programming Language: the case of BSPL and SARLMatteo Baldoni, Cristina Baroglio, Stéphane Galland, Roberto Micalizio, Fatma Outay, Stefano Tedeschi 0001. 2426-2427 [doi]
• Multi-Agent Pickup and Delivery with BatteriesMarcello Bavaro, Francesco Amigoni. 2428-2430 [doi]
• Efficient Multi-Agent Delegated SearchCurtis Bechtel, Shaddin Dughmi. 2431-2433 [doi]
• Bridging the Gap between Partially Observable Stochastic Games and Sparse POMDP MethodsTyler J. Becker, Zachary Sunberg. 2434-2436 [doi]
• Robust Strategies for Stochastic Multi-Agent SystemsRaphaël Berthon, Joost-Pieter Katoen, Munyque Mittelmann, Aniello Murano. 2437-2439 [doi]
• Multiplayer Games With Incomplete Information for Hyperproperty VerificationRaven Beutner, Bernd Finkbeiner. 2440-2442 [doi]
• Planning for Temporally Extended Goals based on alpha-CTLViviane Bonadia dos Santos, Leliane Nunes de Barros, Maria Viviane de Menezes, Silvio do Lago Pereira. 2443-2445 [doi]
• Formal Verification of Manipulation DialoguesAndreas Brännström, Chiaki Sakama, Juan Carlos Nieves. 2446-2448 [doi]
• (Submodular) Hedonic Games with Common Ranking PropertyBugra Çaskurlu, Ali Eser. 2449-2451 [doi]
• Agreement Games in Multi-Agent SystemsDavide Catta, Angelo Ferrando 0001, Vadim Malvone. 2452-2454 [doi]
• The Costly Bargain: Economic Impacts of Price-Seeking Behavior in Aging PopulationsFuguang Chen, Alan Tsang. 2455-2456 [doi]
• Dynamic Conservative Degree Allocation for Offline Multi-Agent Reinforcement LearningHaosheng Chen, Yun Hua, Junjie Sheng, Wenhao Li 0001, Bo Jin 0003, Xiangfeng Wang. 2457-2459 [doi]
• Hierarchical Multi-Agent Framework for Dynamic Macroeconomic Modelling Using Large Language ModelsZhixun Chen, Zijing Shi, Yaodong Yang 0001, Meng Fang, Yali Du 0001. 2460-2462 [doi]
• Traffic Anomaly Detection through Generative Modeling of Multi-Agent Interactions in Traffic FlowZhuojun Chen, Tacitus Hui, Xinghua Zhu, Dongzhe Su. 2463-2465 [doi]
• Optimal Mechanism Design for Crowdfunding of Public GoodsYukun Cheng, Xiaotie Deng, Baqiao Quan. 2466-2468 [doi]
• Fairness in Cooperative Multi-agent Multi-objective Reinforcement Learning using the Expected Scalarized ReturnFarès Chouaki, Aurélie Beynier, Nicolas Maudet, Paolo Viappiani. 2469-2471 [doi]
• Open-World Classification with Bayesian Gaussian Mixture ModelsJustin Clarke, Przemyslaw Grabowicz, David D. Jensen. 2472-2474 [doi]
• Egalitarianism in Online Coalition FormationSaar Cohen 0001, Noa Agmon. 2475-2477 [doi]
• Resolving Multiple-Dynamic Model Uncertainty in Hypothesis-Driven Belief-MDPsOfer Dagan, Tyler J. Becker, Zachary N. Sunberg. 2478-2480 [doi]
• Multi-Agent Reinforcement Learning with Selective State-Space ModelsJemma Daniel, Ruan John de Kock, Louay Ben Nessir, Sasha Abramowitz, Omayma Mahjoub, Wiem Khlifi, Juan Claude Formanek, Arnu Pretorius. 2481-2483 [doi]
• Voter Participation Control in Online PollsKoustav De, Palash Dey, Swagato Sanyal. 2484-2486 [doi]
• f SynthesisGiuseppe De Giacomo, Yves Lespérance, Gianmarco Parretti, Fabio Patrizi, Renzo Schram. 2487-2489 [doi]
• Is an Exponentially Growing Action Space Really that Bad? Validating a Core Assumption for using Multi-Agent RLRuan de Kock, Arnu Pretorius, Jonathan P. Shock. 2490-2492 [doi]
• Symplex: Learning Social Norm Hierarchies by Combining Autonomous Exploration and Expert ImitationOliver Deane, Oliver Ray. 2493-2495 [doi]
• Asynchronous Cooperative Multi-Agent Reinforcement Learning with Limited CommunicationSydney Dolan, Siddharth Nayak, Jasmine Jerry Aloor, Hamsa Balakrishnan. 2496-2498 [doi]
• Parameterized Complexity of Hedonic Games with Enemy-Oriented PreferencesMartin Durand, Laurin Erlacher, Johanne Müller Vistisen, Sofia Simola. 2499-2501 [doi]
• Distributed Adaptive Macroscopic Ensemble Task Allocation of Heterogeneous Robot Teams in Dynamic EnvironmentsVictoria M. Edwards, M. Ani Hsieh. 2502-2503 [doi]
• Weighted Envy Freeness With Bounded SubsidiesNoga Klein Elmalem, Rica Gonen, Erel Segal-haLevi. 2504-2506 [doi]
• Agential AI for Integrated Continual Learning, Deliberative Behavior, and Comprehensible ModelsZeki Doruk Erden, Boi Faltings. 2507-2509 [doi]
• ADAGE: A Generic Two-layer Framework for Adaptive Agent based ModellingBenjamin Patrick Evans, Sihan Zeng, Sumitra Ganesh, Leo Ardon. 2510-2513 [doi]
• Participatory Budgeting Project Strength via Candidate ControlPiotr Faliszewski, Lukasz Janeczko, Dusan Knop, Jan Pokorný, Simon Schierreich, Mateusz Sluszniak, Krzysztof Sornat. 2514-2516 [doi]
• Quantitative Operational Monitoring for BDI AgentsMarie Farrell, Angelo Ferrando 0001, Mengwei Xu. 2517-2519 [doi]
• Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable BehaviorsLang Feng 0002, Jiahao Lin, Dong Xing, Li Zhang 0045, De Ma, Gang Pan 0001. 2520-2522 [doi]
• Action-Dependent Optimality-Preserving Reward ShapingGrant C. Forbes, Jianxun Wang 0002, Leonardo Villalobos-Arias, Arnav Jhala, David I. Roberts. 2523-2525 [doi]
• Learning Flexible Heterogeneous Coordination With Capability-Aware Shared HypernetworksKevin Fu, Pierce Howell, Shalin Jain, Harish Ravichandar. 2526-2528 [doi]
• m-Action GamesYuma Fujimoto, Kaito Ariu, Kenshi Abe. 2529-2531 [doi]
• Adaptive Budget Optimization for Multichannel Advertising Using Combinatorial BanditsBriti Gangopadhyay, Zhao Wang 0009, Alberto Silvio Chiappa, Shingo Takamatsu. 2532-2534 [doi]
• Matching Markets with ChoresJugal Garg, Thorben Tröbst, Vijay V. Vazirani. 2535-2537 [doi]
• Learning Bayesian Game Families, with Application to Mechanism DesignMadelyn Gatchel, Michael P. Wellman. 2538-2540 [doi]
• ChatBDI: Think BDI, Talk LLMAndrea Gatti 0002, Viviana Mascardi, Angelo Ferrando 0001. 2541-2543 [doi]
• Satisfactory Budget DivisionLaurent Gourvès, Michael Lampis, Nikolaos Melissinos, Aris Pagourtzis. 2544-2546 [doi]
• Social Ranking for Feature SelectionLaurent Gourvès, Stefano Moretti 0001, Satya Tamby. 2547-2549 [doi]
• Can you see how I learn? Human Observers' Inferences about Reinforcement Learning Agents' Learning ProcessesBernhard Hilpert, Muhan Hou, Kim Baraka, Joost Broekens. 2550-2552 [doi]
• Making Universal Policies UniversalNiklas Höpner, David Kuric, Herke van Hoof. 2553-2555 [doi]
• Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy GeneralizationShengchao Hu, Wanru Zhao, Weixiong Lin, Li Shen 0008, Ya Zhang 0002, Dacheng Tao. 2556-2558 [doi]
• Fair Assignment on Multi-Stage GraphsVibulan J, Swapnil Dhamal, Shweta Jain 0002, Ojassvi Kumar, Aman Kumar, Harpreet Singh. 2559-2561 [doi]
• Decoding Negotiation Dynamics: The Impact of Opponent Identity and Privacy on Strategy, Deception, and Emotional Transparency in Human-Agent InteractionNusrath Jahan, Johnathan Mell. 2562-2564 [doi]
• Predicting Team Performance from Communications in Simulated Search-and-RescueAli Jalal-Kamali, Nikolos Gurney, David V. Pynadath. 2565-2567 [doi]
• FedHPD: Heterogeneous Federated Reinforcement Learning via Policy DistillationWenzheng Jiang, Ji Wang 0002, Xiongtao Zhang, Weidong Bao 0001, Cheston Tan, Flint Xiaofeng Fan. 2568-2570 [doi]
• When to Stop Getting Tested: The Theory of Diagnostic TestsAnson Kahng, Joseph Saber. 2571-2573 [doi]
• Evaluating and Improving Graph-based Explanation Methods for Multi-Agent CoordinationSiva Kailas, Shalin Jain, Harish Ravichandar. 2574-2576 [doi]
• Resource Allocation under the Latin Square ConstraintYasushi Kawase, Bodhayan Roy, Mohammad Azharuddin Sanpui. 2577-2578 [doi]
• RallyDiffuser: A Representation-Guided Diffusion Model Framework for Strategic Planning in BadmintonBing-Zhi Ke, Kuang-Da Wang, Wen-Chih Peng. 2579-2581 [doi]
• Adaptive Microtolling in Competitive Online Congestion Games via Multiagent Reinforcement LearningBehrad Koohy, Sebastian Stein 0001, Enrico H. Gerding. 2582-2584 [doi]
• Compensating Latent Nonlinear Dynamics for Practical Consensus ControlKrzysztof Kowalczyk, Dominik Baumann, Cristian R. Rojas, Pawel Wachel. 2585-2587 [doi]
• Online Competitive Information Gathering for Partially Observable Trajectory GamesMel Krusniak, Hang Xu, Parker Palermo, Forrest Laine. 2588-2590 [doi]
• DECAF: Learning to be Fair in Multi-agent Resource AllocationAshwin Kumar, William Yeoh 0001. 2591-2593 [doi]
• Truman: A Large Language Model-based Multi-agent Simulator for Synthetic Money Laundering Data GenerationDattatray Vishnu Kute, Zihao Xu, Yuekang Li, Fethi Rabhi. 2594-2596 [doi]
• Knowledge Transfer in Model-Based Reinforcement Learning Agents for Efficient Multi-Task LearningDmytro Kuzmenko, Nadiya Shvai. 2597-2599 [doi]
• Model of the Influence of External Signals on the Trust of the Agent in Multi Agent SystemFrédérique Lalieu, Tomasz Zurek, Tom M. van Engers. 2600-2602 [doi]
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• Equilibrium Selection via Communication PartitionWei-chen Lee, Alessandro Abate, Michael J. Wooldridge. 2606-2608 [doi]
• Observer-Aware Probabilistic Planning under Partial ObservabilitySalomé Lepers, Vincent Thomas, Olivier Buffet. 2609-2611 [doi]
• Offline Meta Reinforcement Learning with Weighted Policy Constraints and Proximal Context CollectionHaorui Li, Jiaqi Liang 0002, Linjing Li, Daniel Zeng 0001. 2612-2614 [doi]
• Group-fair Facility Location Games with ExternalitiesMinming Li, Cheng Peng, Ying Wang, Houyu Zhou. 2615-2617 [doi]
• Lite-DIO Is Actually What You Need for Efficient Inertial LocalizationYan Li, Meng Liu, Zhongchen Shi, Yanqing Hou, Liang Xie 0012, Hongbo Chen, Erwei Yin. 2618-2620 [doi]
• Diversity-seeking Swap Games in NetworksYaqiao Li, Lata Narayanan, Jaroslav Opatrny, Yi Tian Xu. 2621-2623 [doi]
• Fusing Physical and Cognitive Stimuli: An Eye Movement Emotion Recognition Framework Based on Hierarchical Attention MechanismZhilin Li, Xiaomei Tao. 2624-2626 [doi]
• What Is a Counterfactual Cause in Action Theories?Daxin Liu 0002, Vaishak Belle. 2627-2629 [doi]
• Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement LearningLunjun Liu, Weilai Jiang, Yaonan Wang 0001. 2630-2632 [doi]
• Policies with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming ApproachXinjie Liu, Jingqi Li 0001, Filippos Fotiadis, Mustafa O. Karabag, Jesse Milzman, David Fridovich-Keil, Ufuk Topcu. 2633-2635 [doi]
• Adaptive Offline Data Replay in Offline-to-Online Reinforcement LearningXu Liu, Tong Yu 0001, Shuai Li 0010. 2636-2638 [doi]
• RainbowArena: A Multi-Agent Toolkit for Reinforcement Learning and Large Language Models in Competitive Tabletop GamesYingzhuo Liu, Shuodi Liu, Hongsong Tang, Yubing Ma, Zikang Li, Junge Zhang, Liuyu Xiang, Zhaofeng He. 2639-2641 [doi]
• CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement LearningZeyuan Liu, Kai Yang, Jiafei Lyu, Xiu Li 0001. 2642-2644 [doi]
• Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use ToolsPanagiotis Lymperopoulos, Vasanth Sarathy. 2645-2647 [doi]
• Mitigating Non-Stationarity in Deep Reinforcement Learning with Clustering Orthogonal Weight ModificationGuoqing Ma 0003, Yuhan Zhang, Yuming Dai, Guangfu Hao, Yang Chen, Shan Yu. 2648-2650 [doi]
• DyLam: A Dynamic Reward Weighting Framework for Reinforcement Learning AlgorithmsMateus Machado, Hansenclever Bassani. 2651-2653 [doi]
• IBGP: Imperfect Byzantine Generals Problem for Zero-Shot Robustness in Communicative Multi-Agent SystemsYihuan Mao, Yipeng Kang, Peilun Li, Ning Zhang, Wei Xu, Chongjie Zhang. 2654-2656 [doi]
• AlphaZeroES: Direct Score Maximization Outperforms Planning Loss MinimizationCarlos Martin 0001, Tuomas Sandholm. 2657-2659 [doi]
• Learning Fair and Preferable Allocations through Neural NetworkRyota Maruo, Koh Takeuchi 0001, Hisashi Kashima. 2660-2662 [doi]
• Rethinking Explainable AI: Explanations can be DeceivingPeta Masters, Daniel Gallagher, Luc Moreau 0001, Mor Vered. 2663-2665 [doi]
• Where is the Nearest EV Charging Station? Evolutionary Optimization of the Gas/charging Stations TopologyEnrique Mateos-Melero, Javier Moralejo-Piñas, Ángela Durán-Pinto, Francisco Martinez-gil, María Soriano, Fernando Fernández 0001. 2666-2668 [doi]
• Predictive Improvement through Latent Space OptimisationAlexander McCaffrey, Eduardo Alonso, Esther Mondragón. 2669-2671 [doi]
• Dynamic Option Creation in Option-Critic Reinforcement LearningMateus Begnini Melchiades, Gabriel de Oliveira Ramos, Bruno C. da Silva 0001. 2672-2674 [doi]
• Adapting Beyond the Depth Limit: Counter Strategies in Large Imperfect Information GamesDavid Milec, Vojtech Kovarík, Viliam Lisý. 2675-2677 [doi]
• Context Adaptive Memory-Efficient LLM Inference for Edge Multi-Agent SystemsHamza Mohammed, Hang Yin, Sai Chand Boyapati. 2678-2680 [doi]
• Learning Heterogeneous Agent Collaboration in Decentralized Multi-Agent Systems via Intrinsic MotivationJahir Sadik Monon, Deeparghya Dutta Barua, Md. Mosaddek Khan. 2681-2683 [doi]
• Improving the Effectiveness of Potential-based Reward Shaping in Reinforcement LearningHenrik Müller, Daniel Kudenko. 2684-2686 [doi]
• Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic SparsityCalarina Muslimani, Bram Grooten, Deepak Ranganatha Sastry Mamillapalli, Mykola Pechenizkiy, Decebal Constantin Mocanu, Matthew E. Taylor. 2687-2689 [doi]
• A Minimalist Approach to Augmentation-based Self-supervised Representation Learning for On-policy Reinforcement LearningNasik Muhammad Nafi, William H. Hsu. 2690-2692 [doi]
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• k-Submodular Bandits with Full Bandit FeedbackGuanyu Nie, Vaneet Aggarwal, Christopher John Quinn. 2696-2698 [doi]
• Reasoning and Planning with Dynamic Social NormsTaylor Olson, Roberto Salas-Damian, Kenneth D. Forbus. 2699-2701 [doi]
• Multi-Objective Reinforcement Learning for Water ManagementZuzanna Osika, Roxana Radulescu, Jazmin Zatarain Salazar, Frans A. Oliehoek, Pradeep K. Murukannaiah. 2702-2704 [doi]
• Decentralized Deep Reinforcement Learning for Cooperative Multi-Agent Flight Trajectory Planning in Adverse WeatherBizhao Pang, Xinting Hu, Mingcheng Zhang, Sameer Alam, Guglielmo Lulli 0001. 2705-2707 [doi]
• Learning to Explore when Mistakes are Not AllowedCharly Pecqueux-Guézénec, Stéphane Doncieux, Nicolas Perrin-Gilbert. 2708-2710 [doi]
• Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential FieldsArseniy Pertzovsky, Roni Stern, Ariel Felner, Roie Zivan. 2711-2713 [doi]
• Diverse Heterogeneous Graph Conditioned Diffusion for Multi-Agent TeamingLuis Pimentel, Sean Ye, James Ellis Grant Pagan, Matthew C. Gombolay. 2714-2716 [doi]
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• Shapley Value-based Approach for Distributing Revenue of Matchmaking of Private Transactions in BlockchainsRasheed, Parth Nimish Desai, Yash Chaurasia, Sujit Gujar. 2723-2725 [doi]
• Requirements-based Explainability for Multi Agent SystemsSebastian Rodriguez, John Thangarajah, Michael Winikoff. 2726-2728 [doi]
• Towards Automating the Design of Value-Aligned Clinical ProtocolsManel Rodriguez-Soto, Nardine Osman 0001, Carles Sierra, Rocio Cintas Garcia, Cristina Farriols Danes, Montserrat Garcia Retortillo, Silvia Minguez Maso, Jordi Martinez Roldan. 2729-2731 [doi]
• Liquid Welfare and Revenue Monotonicity in Adaptive Clinching AuctionsRyosuke Sato 0002. 2732-2734 [doi]
• On the Existence of EFX Allocations in MultigraphsAlkmini Sgouritsa, Minas Marios Sotiriou. 2735-2737 [doi]
• Environmental Policies within Cournot OligopolyLiang Shan 0016, Zhengyang Liu 0002, Haoqiang Huang, Zihe Wang 0001. 2738-2740 [doi]
• Negotiated Reasoning: On Provably Addressing Relative Over-GeneralizationJunjie Sheng, Wenhao Li 0001, Bo Jin 0003, Hongyuan Zha, Jun Wang 0006, Xiangfeng Wang. 2741-2743 [doi]
• Towards Fair and Efficient Policy Learning in Cooperative Multi-Agent Reinforcement LearningUmer Siddique, Peilang Li, Yongcan Cao. 2744-2746 [doi]
• Hierarchical Multi-agent Reinforcement Learning for Cyber Network DefenseAditya Vikram Singh, Ethan Rathbun, Emma Graham, Lisa Oakley, Simona Boboila, Peter Chin 0001, Alina Oprea. 2747-2749 [doi]
• PANDA: Priority-Based Collision Avoidance Framework for Heterogeneous UAVs Navigating in Dense AirspaceAgamdeep Singh, Jaskirat Singh, P. B. Sujit. 2750-2752 [doi]
• Modeling the Collaborative Edge Data Caching Problem via a Dynamic DCOPZiyang Song, Ziyu Chen, Jinhui Huang, Cheng Zhang, Jingyuan He. 2753-2755 [doi]
• Pure Nash Equilibrium and Strong Nash Equilibrium Computation in Additive Aggregate GamesJared Soundy, Mohammad T. Irfan, Hau Chan. 2756-2758 [doi]
• Coordinating Competing Electric Vehicle Fleets: An Agent-Based Charging Capacity MarketLennard Sund, Janik Muires, Ramin Ahadi, Konstantina Valogianni, Wolfgang Ketter. 2759-2761 [doi]
• Regret Guarantees for a UCB-based Algorithm for Volatile Combinatorial BanditsAbhishek Kumar, Andra Siva Sai Teja, Ganesh Ghalme, Sujit Gujar, Y. Narahari. 2762-2764 [doi]
• Practical Comparisons of Reservoir Topology Performance and Input Distribution in Digital Reservoir ComputersLewis Thelen, Vikram Ravindra. 2765-2767 [doi]
• Dynamic Reward Sharing to Enhance Learning in the Context of Multiagent TeamsKyle Tilbury, David Radke. 2768-2770 [doi]
• Cultural Evolution of Cooperation among LLM AgentsAron Vallinder, Edward Hughes 0001. 2771-2773 [doi]
• Distributed Value Decomposition Networks with Networked AgentsGuilherme S. Varela, Alberto Sardinha, Francisco S. Melo. 2774-2776 [doi]
• Shifting Power: Leveraging LLMs to Simulate Human Aversion in ABMs of Bilateral Financial Exchanges, A bond market studyAlicia Vidler, Toby Walsh. 2777-2779 [doi]
• Trading-off Accuracy and Communication Cost in Federated LearningMattia Jacopo Villani, Emanuele Natale, Frederik Mallmann-Trenn. 2780-2782 [doi]
• Leveraging Fully-Observable Solutions for Improved Partially-Observable Offline Reinforcement LearningChulabhaya Wijesundara, Andrea Baisero, Gregory D. Castañón, Alan Carlin, Robert Platt 0001, Christopher Amato. 2783-2785 [doi]
• Will Systems of LLM Agents Lead to Cooperation: An Investigation into a Social DilemmaRichard Willis, Yali Du 0001, Joel Z. Leibo. 2786-2788 [doi]
• Combining Normative Ethics Principles to Learn Prosocial BehaviourJessica Woodgate, Nirav Ajmeri. 2789-2791 [doi]
• On-Policy Reinforcement Learning From Failure via Sparse Reward DensificationMingkang Wu, Yongcan Cao. 2792-2794 [doi]
• Integrating Large Language Models with Reinforcement Learning for Generalization in Strategic Card GamesWannian Xia, Meng Fang, Zihao Guo, Yali Du 0001, Bo Xu 0002. 2795-2797 [doi]
• Heuristics-Assisted Experience Replay Strategy for Cooperative Multi-Agent Reinforcement LearningYi Xie, Ziqing Zhou, Chun Ouyang 0002, Siao Liu, Linqiang Hu, Zhongxue Gan. 2798-2800 [doi]
• Empowering Generalization for Deep Reinforcement Learning via Symbolic PlanningTianpei Yang, Srijita Das 0001, Christabel Wayllace, Matthew E. Taylor. 2801-2803 [doi]
• vGOALYi Yang 0034, Tom Holvoet. 2804-2806 [doi]
• Using Assistance Rewards Without Introducing Bias: Overcoming Sparse Rewards in Multi-Agent Reinforcement LearningYue Yang, Bernd Meyer, Frits de Nijs. 2807-2809 [doi]
• CPE: A New Paradigm for Policy Extraction in Offline Reinforcement LearningZhaohui Yang, Xiaoxuan Wang, Linjing Li. 2810-2812 [doi]
• Learning Pre-Trained Tacit Behavior for Efficient Multi-Agent Adversarial CoordinationShiqing Yao, Jiajun Chai, Haixin Yu, Yongzhe Chang, Yuanheng Zhu, Xueqian Wang. 2813-2815 [doi]
• Local Anomaly Detection with Partial Observation in Multi-agent Systems as a Data Matching GameZixin Ye, Tansu Alpcan, Christopher Leckie. 2816-2818 [doi]
• Fast Adaption by Policy Deviation Integral Meta-reinforcement Learning with Applications to High-speed Trains OperationHaotong Zhang 0004, Wanyuan Wang. 2819-2821 [doi]
• Enhancing Offline Safe Reinforcement Learning with Trajectory-Constrained Diffusion PlanningHengrui Zhang, Youfang Lin, Shuo Shen, Hanfeng Lin, Peng Cheng 0013, Sheng Han 0001, Kai Lv 0002. 2822-2824 [doi]
• SFedRec: A Federated Learning Framework for Dynamic Session-based RecommendationHexiao Zhang, Yanni Tang, Jiamou Liu, Wu Chen 0005. 2825-2828 [doi]
• Experience-replay Innovative DynamicsTuo Zhang, Leonardo Stella, Julian Barreiro-Gomez. 2829-2831 [doi]
• Efficient Training of Generalizable Visuomotor Policies via Control-Aware AugmentationYinuo Zhao, Kun Wu 0001, Tianjiao Yi, Zhiyuan Xu, Zhengping Che, Chi Harold Liu, Jian Tang 0008. 2832-2834 [doi]
• Multi-Agent Systems for Bullying InterventionLuis Zhinin-Vera, José J. González-García, Víctor López-Jaquero, Elena Navarro 0001, Pascual González. 2835-2837 [doi]
• CADP: Towards Better Centralized Learning for Decentralized Execution in MARLYihe Zhou, Shunyu Liu 0001, Yunpeng Qing, Tongya Zheng, Kaixuan Chen 0004, Jie Song 0011, Mingli Song. 2838-2840 [doi]
• Reducing Variance Caused by Communication in Decentralized Multi-agent Deep Reinforcement LearningChangxi Zhu, Mehdi Dastani, Shihan Wang 0001. 2841-2843 [doi]
• Multimodal Agentic Model Predictive ControlSaptarashmi Bandyopadhyay, John (Jack) Cole, Tom Goldstein, David Jacobs 0001. 2844-2848 [doi]
• Safe Systems with Unsafe Agents: Challenges and OpportunitiesJeremy Bellay, J. Timothy Balint, Stephen A. Boxwell, Jeffrey Geppert. 2849-2853 [doi]
• Contesting Black-Box AI DecisionsVirginia Dignum, Loizos Michael, Juan Carlos Nieves, Marija Slavkovik 0001, Julliett Suarez, Andreas Theodorou. 2854-2858 [doi]
• The Next Level of Long-Term Agent Autonomy - Proactively Acquiring Knowledge and AbilitiesHermine J. Grosinger. 2859-2864 [doi]
• Tyranny of the Minority in Social Choice: a Call to ArmsReshef Meir. 2865-2869 [doi]
• Tackling the Protocol Problem in Automated NegotiationYasser Mohammad. 2870-2874 [doi]
• Grounding Agent Reasoning in Image Schemas: A Neurosymbolic Approach to Embodied CognitionFrançois Olivier, Zied Bouraoui. 2875-2879 [doi]
• Market-based Architectures in RL and BeyondAbhimanyu Pallavi Sudhir, Long Tran-Thanh. 2880-2884 [doi]
• Empirical Hardness in Multi-Agent Pathfinding: Research Challenges and OpportunitiesJingyao Ren, Eric Ewing, T. K. Satish Kumar, Sven Koenig, Nora Ayanian. 2885-2889 [doi]
• Multi-Agent Reinforcement Learning Simulation for Environmental Policy SynthesisJames Rudd-Jones, Mirco Musolesi, María Pérez-Ortiz 0001. 2890-2895 [doi]
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• Role of State in Partially Observable Reinforcement LearningAndrea Baisero. 2917-2919 [doi]
• Balancing Fairness and Efficiency in the Allocation of Indivisible GoodsKaren Frilya Celine. 2920-2922 [doi]
• Human Influences on Decision Making in Multi-Agent SystemsDaniel E. Collins. 2923-2925 [doi]
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• Environment-Centered Design of Ethical EnvironmentsArnau Mayoral-Macau. 2953-2955 [doi]
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• Agent-Based Modeling of Smart Sustainable Mobility Services, Markets, and PolicyJanik Muires. 2965-2967 [doi]
• Humanlike Emergent Language in Multi-Agent SystemsJannik Peters 0002. 2971-2973 [doi]
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• Multi-Agent Multi-Objective Planning with Contextual Lexicographic Reward PreferencesPulkit Rustagi. 2982-2984 [doi]
• Deep Learning approaches to Goal RecognitionLorenzo Serina. 2985-2987 [doi]
• Different Models for Fair and Efficient Resource AllocationBin Sun. 2988-2990 [doi]
• Ethical Decision-Making in Multi-Agent SystemsJessica Woodgate. 2991-2993 [doi]
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• FindMe: A Prototype Videogame AI based on CTL with an Optimized Synthesis AlgorithmMarco Aruta, Vadim Malvone, Aniello Murano, Vincenzo Pio Palma, Salvatore Romano. 2997-2999 [doi]
• [COMP24] The Automated Negotiating Agents Competition (ANAC) 2024 Challenges and ResultsReyhan Aydogan, Tim Baarslag, Tamara C. P. Florijn, Katsuhide Fujita, Catholijn M. Jonker, Yasser Mohammad. 3000-3002 [doi]
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• Orpheus: Programming Protocol-Based BDI AgentsMatteo Baldoni, Samuel Christie, Munindar P. Singh, Amit K. Chopra. 3006-3008 [doi]
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