AAMAS A

479 papers

YearTitle / Authors
2025(Submodular) Hedonic Games with Common Ranking Property.
Bugra Çaskurlu, Ali Eser
2025A Hypothesis-Driven Approach to Explainable Goal Recognition.
Abeer Alshehri, Hissah Alotaibi, Tim Miller, Mor Vered
2025A JAX-Accelerated Simulation Framework for Multi-Agent Energy Management in Energy Communities.
Hicham Azmani, Andries Rosseau, Marjon Blondeel, Ann Nowé
2025A Minimalist Approach to Augmentation-based Self-supervised Representation Learning for On-policy Reinforcement Learning.
Nasik Muhammad Nafi, William H. Hsu
2025A Minimax Approach to Ad Hoc Teamwork.
Victor Villin, Thomas Kleine Buening, Christos Dimitrakakis
2025A Scoresheet for Explainable AI.
Michael Winikoff, John Thangarajah, Sebastian Rodriguez
2025A Simple Integration of Epistemic Logic and Reinforcement Learning.
Thorsten Engesser, Thibaut Le Marre, Emiliano Lorini, François Schwarzentruber, Bruno Zanuttini
2025A View of the Certainty-Equivalence Method for PAC RL as an Application of the Trajectory Tree Method.
Shivaram Kalyanakrishnan, Sheel Shah, Santhosh Kumar Guguloth
2025A summary of: Tackling School Segregation with Transportation Network Interventions - An Agent-Based Modelling Approach.
Dimitris Michailidis, Mayesha Tasnim, Sennay Ghebreab, Fernando P. Santos
2025ACORN: Acyclic Coordination with Reachability Network to Reduce Communication Redundancy in Multi-Agent Systems.
Yi Xie, Ziqing Zhou, Chun Ouyang, Siao Liu, Linqiang Hu, Zhongxue Gan
2025ADAGE: A Generic Two-layer Framework for Adaptive Agent based Modelling.
Benjamin Patrick Evans, Sihan Zeng, Sumitra Ganesh, Leo Ardon
2025Action-Dependent Optimality-Preserving Reward Shaping.
Grant C. Forbes, Jianxun Wang, Leonardo Villalobos-Arias, Arnav Jhala, David I. Roberts
2025AdaCred: Adaptive Causal Decision Transformers with Feature Crediting.
Hemant Kumawat, Saibal Mukhopadhyay
2025Adapting Beyond the Depth Limit: Counter Strategies in Large Imperfect Information Games.
David Milec, Vojtech Kovarík, Viliam Lisý
2025Adaptive Bi-Level Multi-Robot Task Allocation and Learning under Uncertainty with Temporal Logic Constraints.
Xiaoshan Lin, Roberto Tron
2025Adaptive Budget Optimization for Multichannel Advertising Using Combinatorial Bandits.
Briti Gangopadhyay, Zhao Wang, Alberto Silvio Chiappa, Shingo Takamatsu
2025Adaptive Episode Length Adjustment for Multi-agent Reinforcement Learning.
Byunghyun Yoo, Younghwan Shin, Hyunwoo Kim, Euisok Chung, Jeongmin Yang
2025Adaptive Microtolling in Competitive Online Congestion Games via Multiagent Reinforcement Learning.
Behrad Koohy, Sebastian Stein, Enrico H. Gerding
2025Adaptive Multi-Round Influence Maximization with Limited Information.
Vincenzo Auletta, Francesco Carbone, Diodato Ferraioli, Cosimo Vinci
2025Adaptive Offline Data Replay in Offline-to-Online Reinforcement Learning.
Xu Liu, Tong Yu, Shuai Li
2025Agent-Based Analysis of Green Disclosure Policies and Their Market-Wide Impact on Firm Behavior.
Lingxiao Zhao, Maria Polukarov, Carmine Ventre
2025Agent-Based Modeling of Smart Sustainable Mobility Services, Markets, and Policy.
Janik Muires
2025Agent-based Modeling and Simulation of Ambiguity in Catastrophe Insurance Markets.
Yu Bi, Lingxiao Zhao, Jinyun Tong, Zhe Feng, Carmine Ventre
2025Agential AI for Integrated Continual Learning, Deliberative Behavior, and Comprehensible Models.
Zeki Doruk Erden, Boi Faltings
2025Agreement Games in Multi-Agent Systems.
Davide Catta, Angelo Ferrando, Vadim Malvone
2025Algorithmically Fair Maximization of Multiple Submodular Objective Functions.
Georgios Amanatidis, Georgios Birmpas, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser
2025AlphaZeroES: Direct Score Maximization Outperforms Planning Loss Minimization.
Carlos Martin, Tuomas Sandholm
2025Alternating-time Temporal Logic with Stochastic Abilities.
Gabriel Ballot, Vadim Malvone, Jean Leneutre, Jingxuan Ma, Mourad Leslous
2025An AI-Driven Card Playing Robot: An Empirical Study on Communicative Style and Embodiment with Elderly Adults.
Michael Banck, Elisabeth Ganal, Hanna-Finja Weichert, Frank Puppe, Birgit Lugrin
2025An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative Tasks.
George Papadopoulos, Andreas Kontogiannis, Foteini Papadopoulou, Chaido Poulianou, Ioannis Koumentis, George A. Vouros
2025An Improved Mechanism for Pricing Ride-Hailing Fares.
Marek Adamczyk, Maurycy Borkowski, Michal Pawlowski
2025An Organizationally-Oriented Approach to Enhancing Explainability and Control in Multi-Agent Reinforcement Learning.
Julien Soulé, Jean-Paul Jamont, Michel Occello, Louis-Marie Traonouez, Paul Théron
2025Anytime Fairness Guarantees in Stochastic Combinatorial MABs: A Novel Learning Framework.
Subham Pokhriyal, Shweta Jain, Ganesh Ghalme, Vaneet Aggarwal
2025ApproxED: Approximate Exploitability Descent via Learned Best Responses.
Carlos Martin, Tuomas Sandholm
2025Approximating One-Sided and Two-Sided Nash Social Welfare With Capacities.
Salil Gokhale, Harshul Sagar, Rohit Vaish, Jatin Yadav
2025Approximation Algorithms for Connected Maximum Coverage.
Gianlorenzo D'Angelo, Esmaeil Delfaraz
2025Approximation Ratio for Preference Aggregation Using Tree CP-Nets.
Abu Mohammad Hammad Ali, Daniel Ogundare, Boting Yang, Sandra Zilles
2025Artificial Agents Mitigate The Punishment Dilemma Of Indirect Reciprocity.
Alexandre S. Pires, Fernando P. Santos
2025Asymptotic Existence of Class Envy-free Matchings.
Tomohiko Yokoyama, Ayumi Igarashi
2025Asynchronous Cooperative Multi-Agent Reinforcement Learning with Limited Communication.
Sydney Dolan, Siddharth Nayak, Jasmine Jerry Aloor, Hamsa Balakrishnan
2025Automatic Verification of Linear Integer Planning Programs via Forgetting in LIAUPF.
Liangda Fang, Shikang Chen, Xiaoman Wang, Xiaoyou Lin, Chenyi Zhang, Qingliang Chen, Quanlong Guan, Kaile Su
2025Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network.
Vincent Hsiao, Mark Roberts, Laura M. Hiatt, George Dimitri Konidaris, Dana S. Nau
2025Azorus: Commitments over Protocols for BDI Agents.
Amit K. Chopra, Matteo Baldoni, Samuel Christie, Munindar P. Singh
2025Balancing Fairness and Efficiency in the Allocation of Indivisible Goods.
Karen Frilya Celine
2025Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal Health.
Arpan Dasgupta, Gagan Jain, Arun Suggala, Karthikeyan Shanmugam, Milind Tambe, Aparna Taneja
2025Beyond Goal Recognition: A Reinforcement Learning-based Approach to Inferring Agent Behaviour.
Sheryl Mantik, Michael Dann, Minyi Li, Huong Ha, Julie Porteous
2025Beyond Words: Integrating Personality Traits and Context-Driven Gestures in Human-Robot Interactions.
Tahsin Tariq Banna, Sejuti Rahman, Mohammad Tareq
2025Beyond the Echo Chamber: Modelling Open-Mindedness in Citizens' Assemblies.
Jake Barrett, Kobi Gal, Loizos Michael, Dan Vilenchik
2025Bi-Level Reinforcement Learning for Multi-Robot Systems.
Arjun Prakash
2025Bidding Games on Markov Decision Processes with Quantitative Reachability Objectives.
Guy Avni, Martin Kurecka, Kaushik Mallik, Petr Novotný, Suman Sadhukhan
2025Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors.
Lang Feng, Jiahao Lin, Dong Xing, Li Zhang, De Ma, Gang Pan
2025BitML2MCMAS: Strategic Reasoning for Bitcoin Smart Contracts.
Luigi Bellomarini, Marco Favorito, Giuseppe Galano
2025Boosting 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
2025Boosting Sortition via Proportional Representation.
Soroush Ebadian, Evi Micha
2025Bottom-Up Reputation Promotes Cooperation with Multi-Agent Reinforcement Learning.
Tianyu Ren, Xuan Yao, Yang Li, Xiao-Jun Zeng
2025Bridging the Gap between Partially Observable Stochastic Games and Sparse POMDP Methods.
Tyler J. Becker, Zachary Sunberg
2025Byzantine Game Theory: Sun Tzu's Boxes.
Andrei Constantinescu, Roger Wattenhofer
2025CADP: Towards Better Centralized Learning for Decentralized Execution in MARL.
Yihe Zhou, Shunyu Liu, Yunpeng Qing, Tongya Zheng, Kaixuan Chen, Jie Song, Mingli Song
2025CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems.
Chuanbo Hua, Federico Berto, Jiwoo Son, Seunghyun Kang, Changhyun Kwon, Jinkyoo Park
2025CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning.
Zeyuan Liu, Kai Yang, Jiafei Lyu, Xiu Li
2025CPE: A New Paradigm for Policy Extraction in Offline Reinforcement Learning.
Zhaohui Yang, Xiaoxuan Wang, Linjing Li
2025CRLLK: Constrained Reinforcement Learning for Lane Keeping in Autonomous Driving.
Xinwei Gao, Arambam James Singh, Gangadhar Royyuru, Michael Yuhas, Arvind Easwaran
2025Can you see how I learn? Human Observers' Inferences about Reinforcement Learning Agents' Learning Processes.
Bernhard Hilpert, Muhan Hou, Kim Baraka, Joost Broekens
2025Candidate Nomination for Condorcet-consistent Voting Rules.
Ildikó Schlotter, Katarína Cechlárová
2025Carbon Trading Supply Chain Management Based on Constrained Deep Reinforcement Learning.
Qinghao Wang, Yaodong Yang
2025Causality in Multi-Agent Systems.
Sylvia S. Kerkhove
2025Causes and Strategies in Multiagent Systems.
Sylvia S. Kerkhove, Natasha Alechina, Mehdi Dastani
2025Certified Guidance for Planning with Deep Generative Models.
Francesco Giacomarra, Mehran Hosseini, Nicola Paoletti, Francesca Cairoli
2025Changing the Rules of the Game: Reasoning About Dynamic Phenomena in Multi-Agent Systems.
Rustam Galimullin, Maksim Gladyshev, Munyque Mittelmann, Nima Motamed
2025Chat4Elderly: A Multi-Agent System for Personalized Wellness Using Generative AI and Wearable Technology.
Vítor Crista, Diogo Martinho, Goreti Marreiros
2025ChatBDI: Think BDI, Talk LLM.
Andrea Gatti, Viviana Mascardi, Angelo Ferrando
2025Coherence-Driven Multimodal Safety Dialogue with Active Learning for Embodied Agents.
Sabit Hassan, Hye-Young Chung, Xiang Zhi Tan, Malihe Alikhani
2025Collective Decision Making via Automated Reasoning.
Ari Conati
2025Combining LLMs with a Logic-Based Framework to Explain MCTS.
Ziyan An, Xia Wang, Hendrik Baier, Zirong Chen, Abhishek Dubey, Taylor T. Johnson, Jonathan Sprinkle, Ayan Mukhopadhyay, Meiyi Ma
2025Combining Normative Ethics Principles to Learn Prosocial Behaviour.
Jessica Woodgate, Nirav Ajmeri
2025Combining Planning and Reinforcement Learning for Solving Relational Multiagent Domains.
Nikhilesh Prabhakar, Ranveer Singh, Harsha Kokel, Sriraam Natarajan, Prasad Tadepalli
2025Compensating Latent Nonlinear Dynamics for Practical Consensus Control.
Krzysztof Kowalczyk, Dominik Baumann, Cristian R. Rojas, Pawel Wachel
2025Composing Reinforcement Learning Policies, with Formal Guarantees.
Florent Delgrange, Guy Avni, Anna Lukina, Christian Schilling, Ann Nowé, Guillermo A. Pérez
2025Compositional Shielding and Reinforcement Learning for Multi-Agent Systems.
Asger Horn Brorholt, Kim Guldstrand Larsen, Christian Schilling
2025Computing Efficient Envy-Free Partial Allocations of Indivisible Goods.
Robert Bredereck, Andrzej Kaczmarczyk, Junjie Luo, Bin Sun
2025Computing Efficient and Envy-Free Allocations under Dichotomous Preferences using SAT.
Ari Conati, Andreas Niskanen, Ronald de Haan, Matti Järvisalo
2025Conditional Max-Sum for Asynchronous Multiagent Decision Making.
Dimitrios Troullinos, Georgios Chalkiadakis, Ioannis Papamichail, Markos Papageorgiou
2025Condorcet Winners and Anscombe's Paradox Under Weighted Binary Voting.
Carmel Baharav, Andrei Constantinescu, Roger Wattenhofer
2025Conformal Set-based Human-AI Complementarity with Multiple Experts.
Helbert Paat, Guohao Shen
2025Consistency Policy with Categorical Critic for Autonomous Driving.
Xing Fang, Qichao Zhang, Haoran Li, Dongbin Zhao
2025Contest Partitioning in Binary Contests: Costly, yet Beneficial.
Priel Levy, Yonatan Aumann, David Sarne
2025Contesting Black-Box AI Decisions.
Virginia Dignum, Loizos Michael, Juan Carlos Nieves, Marija Slavkovik, Julliett Suarez, Andreas Theodorou
2025Context Adaptive Memory-Efficient LLM Inference for Edge Multi-Agent Systems.
Hamza Mohammed, Hang Yin, Sai Chand Boyapati
2025Contrastive Explainable Clustering with Differential Privacy.
Dung Nguyen, Ariel Vetzler, Sarit Kraus, Anil Vullikanti
2025Coordinating Competing Electric Vehicle Fleets: An Agent-Based Charging Capacity Market.
Lennard Sund, Janik Muires, Ramin Ahadi, Konstantina Valogianni, Wolfgang Ketter
2025Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures.
Erfaun Noorani, Pasan Dissanayake, Faisal Hamman, Sanghamitra Dutta
2025Cultural Evolution of Cooperation among LLM Agents.
Aron Vallinder, Edward Hughes
2025Curiosity-Driven Partner Selection Accelerates Convention Emergence in Language Games.
Chin-wing Leung, Paolo Turrini, Ann Nowé
2025DECAF: Learning to be Fair in Multi-agent Resource Allocation.
Ashwin Kumar, William Yeoh
2025DUPRE: Data Utility Prediction for Efficient Data Valuation.
Kieu Thao Nguyen Pham, Rachael Hwee Ling Sim, Quoc Phong Nguyen, See-Kiong Ng, Bryan Kian Hsiang Low
2025Data Pricing for Graph Neural Networks without Pre-purchased Inspection.
Yiping Liu, Mengxiao Zhang, Jiamou Liu, Song Yang
2025Decentralized Deep Reinforcement Learning for Cooperative Multi-Agent Flight Trajectory Planning in Adverse Weather.
Bizhao Pang, Xinting Hu, Mingcheng Zhang, Sameer Alam, Guglielmo Lulli
2025Decentralized Planning Using Probabilistic Hyperproperties.
Francesco Pontiggia, Filip Macák, Roman Andriushchenko, Michele Chiari, Milan Ceska
2025Decision-Making in Evolving Environments: A Bayesian Multi-Agent Bandit Framework.
Mohammad Essa Alsomali, Leandro Soriano Marcolino, Barry Porter, Roberto Rodrigues Filho
2025Decoding Negotiation Dynamics: The Impact of Opponent Identity and Privacy on Strategy, Deception, and Emotional Transparency in Human-Agent Interaction.
Nusrath Jahan, Johnathan Mell
2025Deep Learning approaches to Goal Recognition.
Lorenzo Serina
2025Different Models for Fair and Efficient Resource Allocation.
Bin Sun
2025Discovery and Deployment of Emergent Robot Swarm Behaviors via Representation Learning and Real2Sim2Real Transfer.
Connor Mattson, Varun Raveendra, Ricardo Vega, Cameron Nowzari, Daniel S. Drew, Daniel S. Brown
2025Distributed Adaptive Macroscopic Ensemble Task Allocation of Heterogeneous Robot Teams in Dynamic Environments.
Victoria M. Edwards, M. Ani Hsieh
2025Distributed Value Decomposition Networks with Networked Agents.
Guilherme S. Varela, Alberto Sardinha, Francisco S. Melo
2025Diverse Heterogeneous Graph Conditioned Diffusion for Multi-Agent Teaming.
Luis Pimentel, Sean Ye, James Ellis Grant Pagan, Matthew C. Gombolay
2025Diversity-seeking Swap Games in Networks.
Yaqiao Li, Lata Narayanan, Jaroslav Opatrny, Yi Tian Xu
2025Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning.
Willem Röpke, Mathieu Reymond, Patrick Mannion, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
2025Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer.
Yaodong Yang, Guangyong Chen, Hongyao Tang, Furui Liu, Danruo Deng, Pheng-Ann Heng
2025DyLam: A Dynamic Reward Weighting Framework for Reinforcement Learning Algorithms.
Mateus G. Machado, Hansenclever F. Bassani
2025Dynamic Coalition Structure Detection in Natural-Language-based Interactions.
Abhishek Ninad Kulkarni, Andy Liu, Jean-Raphaël Gaglione, Daniel Fried, Ufuk Topcu
2025Dynamic Conservative Degree Allocation for Offline Multi-Agent Reinforcement Learning.
Haosheng Chen, Yun Hua, Junjie Sheng, Wenhao Li, Bo Jin, Xiangfeng Wang
2025Dynamic Option Creation in Option-Critic Reinforcement Learning.
Mateus Begnini Melchiades, Gabriel de Oliveira Ramos, Bruno C. da Silva
2025Dynamic Reward Sharing to Enhance Learning in the Context of Multiagent Teams.
Kyle Tilbury, David Radke
2025Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning.
Wei-Chen Liao, Ti-Rong Wu, I-Chen Wu
2025EFX Allocations and Orientations on Bipartite Multi-graphs: A Complete Picture.
Mahyar Afshinmehr, Alireza Danaei, Mehrafarin Kazemi, Kurt Mehlhorn, Nidhi Rathi
2025EconoJax: A Fast & Scalable Economic Simulation in JAX.
Koen Ponse, Aske Plaat, Niki van Stein, Thomas M. Moerland
2025EduQate: Generating Adaptive Curricula through RMABs in Education Settings.
Sidney Tio, Dexun Li, Pradeep Varakantham
2025Efficient Model Checking with Semantically-Equivalent Models for
Yi Yang, Tom Holvoet
2025Efficient Multi-Agent Delegated Search.
Curtis Bechtel, Shaddin Dughmi
2025Efficient Offline Reinforcement Learning Through Dataset Characterization and Reduction.
Enrique Mateos-Melero
2025Efficient Training of Generalizable Visuomotor Policies via Control-Aware Augmentation.
Yinuo Zhao, Kun Wu, Tianjiao Yi, Zhiyuan Xu, Zhengping Che, Chi Harold Liu, Jian Tang
2025Efficient and Optimal Policy Gradient Algorithm for Corrupted Multi-armed Bandits.
Jiayuan Liu, Siwei Wang, Zhixuan Fang
2025Egalitarianism in Online Coalition Formation.
Saar Cohen, Noa Agmon
2025Eliminating Majority Illusion.
Foivos Fioravantes, Abhiruk Lahiri, Antonio Lauerbach, Lluís Sabater, Marie Diana Sieper, Samuel Wolf
2025Emergence of Recursive Language through Bootstrapping and Iterated Learning.
Vikas Kumar, Ajin George Joseph
2025Emit As You Go: Enumerating Edges of a Spanning Tree.
Katrin Casel, Stefan Neubert
2025Empirical Hardness in Multi-Agent Pathfinding: Research Challenges and Opportunities.
Jingyao Ren, Eric Ewing, T. K. Satish Kumar, Sven Koenig, Nora Ayanian
2025Empowering Generalization for Deep Reinforcement Learning via Symbolic Planning.
Tianpei Yang, Srijita Das, Christabel Wayllace, Matthew E. Taylor
2025EnEnv 1.0: Energy Grid Environment for Multi-Agent Reinforcement Learning Benchmarking.
Dominik Jacek Bogucki, Lukasz Lepak, Sonam Parashar, Bartlomiej Blachowski, Pawel Wawrzynski
2025Enhancing Graph-based Coordination with Evolutionary Algorithms for Episodic Multi-agent Reinforcement Learning.
Kexing Peng, Pengyi Li, Jianye Hao
2025Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields.
Arseniy Pertzovsky, Roni Stern, Ariel Felner, Roie Zivan
2025Enhancing Offline Reinforcement Learning with Curriculum Learning-Based Trajectory Valuation.
Amir Abolfazli, Zekun Song, Avishek Anand, Wolfgang Nejdl
2025Enhancing Offline Safe Reinforcement Learning with Trajectory-Constrained Diffusion Planning.
Hengrui Zhang, Youfang Lin, Shuo Shen, Hanfeng Lin, Peng Cheng, Sheng Han, Kai Lv
2025Enhancing Robot Navigation Policies with Task-Specific Uncertainty Management.
Gokul Puthumanaillam, Paulo Padrao, Jose Fuentes, Leonardo Bobadilla, Melkior Ornik
2025Enhancing Sub-Optimal Trajectory Stitching: Spatial Composition RvS for Offline RL.
Sheng Zang, Zhiguang Cao, Bo An, Senthilnath Jayavelu, Xiaoli Li
2025Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning.
Lukas Schäfer, Oliver Slumbers, Stephen McAleer, Yali Du, Stefano V. Albrecht, David Mguni
2025Environment-Centered Design of Ethical Environments.
Arnau Mayoral-Macau
2025Environmental Policies within Cournot Oligopoly.
Liang Shan, Zhengyang Liu, Haoqiang Huang, Zihe Wang
2025Epistemic Selection of Costly Alternatives: The Case of Participatory Budgeting (Extended Abstract).
Simon Rey, Ulle Endriss
2025Equilibrium Analysis in Markets with Asymmetric Utility Functions.
Martin Bichler, Markus Ewert, Axel Ockenfels
2025Equilibrium Selection via Communication Partition.
Wei-Chen Lee, Alessandro Abate, Michael J. Wooldridge
2025Ethical Decision-Making in Multi-Agent Systems.
Jessica Woodgate
2025Eva: An LLM-based Multilingual Voice-agent Network for Restaurant Operations.
Zhiwei (Tony) Qin, JianMing Zhou
2025Evaluating and Improving Graph-based Explanation Methods for Multi-Agent Coordination.
Siva Kailas, Shalin Jain, Harish Ravichandar
2025Evaluation-Time Policy Switching for Offline Reinforcement Learning.
Natinael Solomon Neggatu, Jeremie Houssineau, Giovanni Montana
2025Experience-replay Innovative Dynamics.
Tuo Zhang, Leonardo Stella, Julian Barreiro-Gomez
2025Explaining Facial Expression Recognition.
Sanjeev Nahulanthran, Leimin Tian, Dana Kulic, Mor Vered
2025Extending Consensus-based Task Allocation Algorithms with Bid Intercession to Foster Mixed-Initiative.
Victor Guillet
2025Extending Consensus-based Task Allocation Algorithms with Bid Intercession to Foster Mixed-Initiative.
Victor Guillet, Charles Lesire, Gauthier Picard, Christophe Grand
2025FGLight: Learning Neighbor-level Information for Traffic Signal Control.
Hang Xiao, Huale Li, Shuhan Qi, Jiajia Zhang, Dingzhong Cai
2025FLIGHT: Facility Location Integrating Generalized, Holistic Theory of Welfare.
Avyukta Manjunatha Vummintala, Shivam Gupta, Shweta Jain, Sujit Gujar
2025FORM: Learning Expressive and Transferable First-Order Logic Reward Machines.
Leo Ardon, Daniel Furelos-Blanco, Roko Parac, Alessandra Russo
2025Factorised Active Inference for Strategic Multi-Agent Interactions.
Jaime Ruiz-Serra, Patrick Sweeney, Michael S. Harré
2025Fair Allocation of Divisible Goods under Non-Linear Valuations.
Haris Aziz, Zixu He, Xinhang Lu, Kaiyang Zhou
2025Fair Assignment on Multi-Stage Graphs.
Vibulan J, Swapnil Dhamal, Shweta Jain, Ojassvi Kumar, Aman Kumar, Harpreet Singh
2025Fair Division in a Variable Setting.
Harish Chandramouleeswaran, Prajakta Nimbhorkar, Nidhi Rathi
2025Fairly Allocating Goods in Parallel.
Rohan Garg, Alexandros Psomas
2025Fairness and Optimality in Routing.
Sreenivas Gollapudi, Kostas Kollias, Alkmini Sgouritsa, Ali Kemal Sinop
2025Fairness in Cooperative Multi-agent Multi-objective Reinforcement Learning using the Expected Scalarized Return.
Farès Chouaki, Aurélie Beynier, Nicolas Maudet, Paolo Viappiani
2025Fast Adaption by Policy Deviation Integral Meta-reinforcement Learning with Applications to High-speed Trains Operation.
Haotong Zhang, Wanyuan Wang
2025Fast UCB-type Algorithms for Stochastic Bandits with Heavy and Super Heavy Symmetric Noise.
Yuriy Dorn, Aleksandr Katrutsa, Ilgam Latypov, Andrey Pudovikov
2025Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring.
Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Rodrigo M. Carrillo-Larco, Ajay Dholakia, David Ellison
2025FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation.
Wenzheng Jiang, Ji Wang, Xiongtao Zhang, Weidong Bao, Cheston Tan, Flint Xiaofeng Fan
2025FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF.
Flint Xiaofeng Fan, Cheston Tan, Yew-Soon Ong, Roger Wattenhofer, Wei Tsang Ooi
2025FindMe: A Prototype Videogame AI based on CTL with an Optimized Synthesis Algorithm.
Marco Aruta, Vadim Malvone, Aniello Murano, Vincenzo Pio Palma, Salvatore Romano
2025Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource Allocation.
Guojun Xiong, Haichuan Wang, Yuqi Pan, Saptarshi Mandal, Sanket Shah, Niclas Boehmer, Milind Tambe
2025Formal Verification of Manipulation Dialogues.
Andreas Brännström, Chiaki Sakama, Juan Carlos Nieves
2025Formalising Overdetermination in a Labelled Transition System.
Camilo Sarmiento, Gauvain Bourgne, Jean-Gabriel Ganascia
2025Free Argumentative Exchanges for Explaining Image Classifiers.
Avinash Kori, Antonio Rago, Francesca Toni
2025From Natural Language to Extensive-Form Game Representations.
Shilong Deng, Yongzhao Wang, Rahul Savani
2025Full Proportional Justified Representation.
Yusuf Hakan Kalayci, Jiasen Liu, David Kempe
2025Fusing Physical and Cognitive Stimuli: An Eye Movement Emotion Recognition Framework Based on Hierarchical Attention Mechanism.
Zhilin Li, Xiaomei Tao
2025GUIDE-CoT: Goal-driven and User-Informed Dynamic Estimation for Pedestrian Trajectory using Chain-of-Thought.
Sungsik Kim, Janghyun Baek, Jinkyu Kim, Jaekoo Lee
2025Game Theory with Simulation in the Presence of Unpredictable Randomisation.
Vojtech Kovarík, Nathaniel Sauerberg, Lewis Hammond, Vincent Conitzer
2025Game of Thoughts: Iterative Reasoning in Game-Theoretic Domains with Large Language Models.
Benjamin Kempinski, Ian Gemp, Kate Larson, Marc Lanctot, Yoram Bachrach, Tal Kachman
2025Game-Family Learning for Simulation-Based Games.
Madelyn Gatchel
2025Game-Theoretically Secure Distributed Protocols for Fair Allocation in Coalitional Games.
T.-H. Hubert Chan, Qipeng Kuang, Quan Xue
2025Games in Public Announcement: How to Reduce System Losses in Optimistic Blockchain Mechanisms.
Siyuan Liu, Yulong Zeng
2025Generalised BDI Planning.
Felipe Meneguzzi, Ramon Fraga Pereira, Nir Oren
2025Geometric Freeze-Tag Problem.
Sharareh Alipour, Kajal Baghestani, Mahdis Mirzaei, Soroush Sahraei
2025Global Behavior of Learning Dynamics in Zero-Sum Games with Memory Asymmetry.
Yuma Fujimoto, Kaito Ariu, Kenshi Abe
2025Goal Recognition via Variational Causality.
Jiaqi Wen, Leonardo Amado
2025Greedy ABA Learning for Case-Based Reasoning.
Emanuele De Angelis, Maurizio Proietti, Francesca Toni
2025Gricean Norms as a Basis for Effective Collaboration.
Fardin Saad, Pradeep K. Murukannaiah, Munindar P. Singh
2025Grounding Agent Reasoning in Image Schemas: A Neurosymbolic Approach to Embodied Cognition.
François Olivier, Zied Bouraoui
2025Group Fairness in Multi-period Mobile Facility Location Problems.
Haris Aziz, Hau Chan, Xingchen Sha, Toby Walsh, Lirong Xia
2025Group-fair Facility Location Games with Externalities.
Minming Li, Cheng Peng, Ying Wang, Houyu Zhou
2025HAVA: Hybrid Approach to Value-Alignment through Reward Weighing for Reinforcement Learning.
Kryspin Varys, Federico Cerutti, Adam J. Sobey, Timothy J. Norman
2025Harmonious Balanced Partitioning of a Network of Agents.
Pulkit Agarwal, Harshvardhan Agarwal, Vaibhav Raj, Swaprava Nath
2025Heuristics-Assisted Experience Replay Strategy for Cooperative Multi-Agent Reinforcement Learning.
Yi Xie, Ziqing Zhou, Chun Ouyang, Siao Liu, Linqiang Hu, Zhongxue Gan
2025Hierarchical Frameworks for Scaling-up Multi-agent Coordination.
Minghong Geng
2025Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations.
Sangwon Seo, Vaibhav V. Unhelkar
2025Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing Problems.
Yuxin Pan, Ruohong Liu, Yize Chen, Zhiguang Cao, Fangzhen Lin
2025Hierarchical Multi-Agent Framework for Dynamic Macroeconomic Modelling Using Large Language Models.
Zhixun Chen, Zijing Shi, Yaodong Yang, Meng Fang, Yali Du
2025Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense.
Aditya Vikram Singh, Ethan Rathbun, Emma Graham, Lisa Oakley, Simona Boboila, Peter Chin, Alina Oprea
2025Higher-Order Belief in Incomplete Information MAIDs.
Jack Foxabbott, Rohan Subramani, Francis Rhys Ward
2025Hitchhiker's Guide to Patrolling: Path-Finding for Energy-Sharing Drone-UGV Teams.
Jonathan Diller, Qi Han, Robert Byers, James Dotterweich, James Humann
2025Housing Market on Networks.
Xinwei Song, Tianyi Yang, Dengji Zhao
2025Human Influences on Decision Making in Multi-Agent Systems.
Daniel E. Collins
2025Human-Agent Coordination in Games under Incomplete Information via Multi-Step Intent.
Shenghui Chen, Ruihan Zhao, Sandeep Chinchali, Ufuk Topcu
2025Human-Aligned Skill Discovery: Balancing Behaviour Exploration and Alignment.
Maxence Hussonnois, Thommen George Karimpanal, Santu Rana
2025Humanlike Emergent Language in Multi-Agent Systems.
Jannik Peters
2025IBGP: 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
2025Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration.
Xingrui Yu, Zhenglin Wan, David Mark Bossens, Yueming Lyu, Qing Guo, Ivor W. Tsang
2025Impact Measures for Gradual Argumentation Semantics.
Caren Al Anaissy, Jérôme Delobelle, Srdjan Vesic, Bruno Yun
2025Implicit Repair with Reinforcement Learning in Emergent Communication.
Fábio Vital, Alberto Sardinha, Francisco S. Melo
2025Improving Policy Optimization via ε-Retrain.
Luca Marzari, Priya L. Donti, Changliu Liu, Enrico Marchesini
2025Improving the Effectiveness of Potential-based Reward Shaping in Reinforcement Learning.
Henrik Müller, Daniel Kudenko
2025InCLET: Large Language Model In-context Learning can Improve Embodied Instruction-following.
Peng-Yuan Wang, Jing-Cheng Pang, Chenyang Wang, Xu-Hui Liu, Tian-Shuo Liu, Si-Hang Yang, Hong Qian, Yang Yu
2025Incentives for Early Arrival in Cost Sharing.
Junyu Zhang, Yao Zhang, Yaoxin Ge, Dengji Zhao, Hu Fu, Zhihao Gavin Tang, Pinyan Lu
2025Incentivizing Truth Exploration and Honest Reporting: A Contract Design Approach.
Yuming Shao, Zhixuan Fang
2025Indifferential Privacy: A New Paradigm and Its Applications to Optimal Matching in Dark Pool Auctions.
Antigoni Polychroniadou, T.-H. Hubert Chan, Adya Agrawal
2025Influence Based Reward Shaping in Multiagent Systems.
Everardo Gonzalez
2025Informed Decision-Making via Voting.
Qishen Han
2025Insights Regarding the Success of Damping in Improving Belief Propagation.
Uriel Zaed, Omer Lev, Roie Zivan
2025Integrating Large Language Models with Reinforcement Learning for Generalization in Strategic Card Games.
Wannian Xia, Meng Fang, Zihao Guo, Yali Du, Bo Xu
2025Intention Recognition in Real-Time Interactive Navigation Maps.
Peijie Zhao, Zunayed Arefin, Felipe Meneguzzi, Ramon Fraga Pereira
2025Interaction 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
2025Investigating 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.
Ohenewa Bediako Akuffo, Birgit Lugrin
2025Is an Exponentially Growing Action Space Really that Bad? Validating a Core Assumption for using Multi-Agent RL.
Ruan de Kock, Arnu Pretorius, Jonathan P. Shock
2025Knowledge Transfer in Model-Based Reinforcement Learning Agents for Efficient Multi-Task Learning.
Dmytro Kuzmenko, Nadiya Shvai
2025LTL Verification of Memoryful Neural Agents.
Mehran Hosseini, Alessio Lomuscio, Nicola Paoletti
2025LUNAR: A Runtime Verification Tool for Anomaly Detection in Gas Networks.
Julius Gasson, Francesco Belardinelli
2025Large Language Models for Virtual Human Gesture Selection.
Parisa Ghanad Torshizi, Laura B. Hensel, Ari Shapiro, Stacy C. Marsella
2025Learning Bayesian Game Families, with Application to Mechanism Design.
Madelyn Gatchel, Michael P. Wellman
2025Learning Collusion in Episodic, Inventory-Constrained Markets.
Paul Friedrich, Barna Pásztor, Giorgia Ramponi
2025Learning Diverse Multiagent Behaviors.
Ayhan Alp Aydeniz
2025Learning Fair and Preferable Allocations through Neural Network.
Ryota Maruo, Koh Takeuchi, Hisashi Kashima
2025Learning Flexible Heterogeneous Coordination With Capability-Aware Shared Hypernetworks.
Kevin Fu, Pierce Howell, Shalin Jain, Harish Ravichandar
2025Learning Graph Representation of Agent Diffusers.
Youcef Djenouri, Nassim Belmecheri, Tomasz P. Michalak, Jan Dubinski, Ahmed Nabil Belbachir, Anis Yazidi
2025Learning Heterogeneous Agent Collaboration in Decentralized Multi-Agent Systems via Intrinsic Motivation.
Jahir Sadik Monon, Deeparghya Dutta Barua, Md. Mosaddek Khan
2025Learning Pre-Trained Tacit Behavior for Efficient Multi-Agent Adversarial Coordination.
Shiqing Yao, Jiajun Chai, Haixin Yu, Yongzhe Chang, Yuanheng Zhu, Xueqian Wang
2025Learning Real-Life Approval Elections.
Piotr Faliszewski, Lukasz Janeczko, Andrzej Kaczmarczyk, Marcin Kurdziel, Grzegorz Pierczynski, Stanislaw Szufa
2025Learning Symbolic Task Decompositions for Multi-Agent Teams.
Ameesh Shah, Niklas Lauffer, Thomas Chen, Nikhil Pitta, Sanjit A. Seshia
2025Learning in Games with Progressive Hiding.
Benjamin Heymann, Marc Lanctot
2025Learning to Explore when Mistakes are Not Allowed.
Charly Pecqueux-Guézénec, Stéphane Doncieux, Nicolas Perrin-Gilbert
2025Learning with Less Effort: Efficient Training and Generalization in (Multi-)Robot Systems.
Peihong Yu
2025Learning with Limited Shared Information in Multi-agent Multi-armed Bandit.
Junning Shao, Siwei Wang, Zhixuan Fang
2025Leveraging Fully-Observable Solutions for Improved Partially-Observable Offline Reinforcement Learning.
Chulabhaya Wijesundara, Andrea Baisero, Gregory D. Castañón, Alan Carlin, Robert Platt, Christopher Amato
2025Leveraging Graph Structures and Large Language Models for End-to-End Synthetic Task-Oriented Dialogues.
Maya Medjad, Hugo Imbert, Bruno Yun, Raphaël Szymocha, Frédéric Armetta
2025Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment.
Kartik Nagpal, Dayi Dong, Negar Mehr
2025Leveraging Score-based Models for Generating Penalization in Model-based Offline Reinforcement Learning.
Zeyuan Liu, Zhirui Fang, Jiafei Lyu, Xiu Li
2025Liquid Welfare and Revenue Monotonicity in Adaptive Clinching Auctions.
Ryosuke Sato
2025Lite-DIO Is Actually What You Need for Efficient Inertial Localization.
Yan Li, Meng Liu, Zhongchen Shi, Yanqing Hou, Liang Xie, Hongbo Chen, Erwei Yin
2025Local Anomaly Detection with Partial Observation in Multi-agent Systems as a Data Matching Game.
Zixin Ye, Tansu Alpcan, Christopher Leckie
2025Local Topological Information as a Powerful Enhancer for Generalizable Neural Method in Travelling Salesman Problem.
Xiaoxin Bai, Junyang Yang, Shengchao Yuan, Yinghao Zhang, Hanqian Wu
2025Logic of Knowledge and Cognitive Ability.
Jia Tao, Xinran Zhang
2025Loss of Plasticity: A New Perspective on Solving Multi-Agent Exploration for Sparse Reward Tasks.
Zehua Zang, Chuxiong Sun, Lixiang Liu, Fuchun Sun, Changwen Zheng
2025MAGNET: A Multi-Agent Graph Neural Network for Efficient Bipartite Task Assignment.
Donald Loveland, James Usevitch, Zachary Serlin, Danai Koutra, Rajmonda Caceres
2025MOSMAC: A Multi-agent Reinforcement Learning Benchmark on Sequential Multi-Objective Tasks.
Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
2025MacLight: Multi-scene Aggregation Convolutional Learning for Traffic Signal Control.
Sunbowen Lee, Hongqin Lyu, Yicheng Gong, Yingying Sun, Chao Deng
2025Making Universal Policies Universal.
Niklas Höpner, David Kuric, Herke van Hoof
2025Managing an Agent's Changing Intentions Using ltl
Giuseppe De Giacomo, Yves Lespérance, Gianmarco Parretti, Fabio Patrizi, Renzo Schram
2025MapBot: A Multi-Modal Agent for Geospatial Analysis.
Martin Weiss, Nasim Rahaman, Chris Pal
2025Market-based Architectures in RL and Beyond.
Abhimanyu Pallavi Sudhir, Long Tran-Thanh
2025Matching Markets with Chores.
Jugal Garg, Thorben Tröbst, Vijay V. Vazirani
2025Maximizing Truth Learning in a Social Network is NP-hard.
Filip Úradník, Amanda Wang, Jie Gao
2025Maximizing Value in Challenge the Champ Tournaments.
Umang Bhaskar, Juhi Chaudhary, Palash Dey
2025Mean Field Correlated Imitation Learning.
Zhiyu Zhao, Chengdong Ma, Qirui Mi, Ning Yang, Xue Yan, Mengyue Yang, Haifeng Zhang, Jun Wang, Yaodong Yang
2025Minimizing Makespan with Conflict-Based Search for Optimal Multi-Agent Path Finding.
Amir Maliah, Dor Atzmon, Ariel Felner
2025Minimizing Rosenthal's Potential in Monotone Congestion Games.
Vittorio Bilò, Angelo Fanelli, Laurent Gourvès, Christos Tsoufis, Cosimo Vinci
2025Mitigating Non-Stationarity in Deep Reinforcement Learning with Clustering Orthogonal Weight Modification.
Guoqing Ma, Yuhan Zhang, Yuming Dai, Guangfu Hao, Yang Chen, Shan Yu
2025Mitigating Value Conflicts with Computational Theory of Mind.
Emre Erdogan, Hüseyin Aydin, Frank Dignum, Rineke Verbrugge, Pinar Yolum
2025Model and Mechanisms of Consent for Responsible Autonomy.
Anastasia Sophia Apeiron, Davide Dell'Anna, Pradeep K. Murukannaiah, Pinar Yolum
2025Model of the Influence of External Signals on the Trust of the Agent in Multi Agent System.
Frédérique Lalieu, Tomasz Zurek, Tom M. van Engers
2025Modeling and Optimizing Agent-Based Model of Conflict-Induced Forced Migration.
Zakaria Mehrab
2025Modeling the Centaur: Human-Machine Synergy in Sequential Decision Making.
David Shoresh, Yonatan Loewenstein
2025Modeling the Collaborative Edge Data Caching Problem via a Dynamic DCOP.
Ziyang Song, Ziyu Chen, Jinhui Huang, Cheng Zhang, Jingyuan He
2025Monte Carlo Tree Search with Velocity Obstacles for Safe and Efficient Motion Planning in Dynamic Environments.
Lorenzo Bonanni, Daniele Meli, Alberto Castellini, Alessandro Farinelli
2025More Efficient Sybil Detection Mechanisms Leveraging Resistance of Users to Attack Requests.
Ali Safarpoor-Dehkordi, Ahad N. Zehmakan
2025Multi-Agent Multi-Objective Planning with Contextual Lexicographic Reward Preferences.
Pulkit Rustagi
2025Multi-Agent Pickup and Delivery with Batteries.
Marcello Bavaro, Francesco Amigoni
2025Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis.
James Rudd-Jones, Mirco Musolesi, María Pérez-Ortiz
2025Multi-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
2025Multi-Agent Systems for Bullying Intervention.
Luis Zhinin-Vera, José J. González-García, Víctor López-Jaquero, Elena Navarro, Pascual González
2025Multi-Objective Planning with Contextual Lexicographic Reward Preferences.
Pulkit Rustagi, Yashwanthi Anand, Sandhya Saisubramanian
2025Multi-Objective Reinforcement Learning for Water Management.
Zuzanna Osika, Roxana Radulescu, Jazmin Zatarain Salazar, Frans A. Oliehoek, Pradeep K. Murukannaiah
2025Multi-Ship Future Interaction Trajectory Prediction via Pre-Initializer Diffusion Model.
Kun Ma, Qilong Han, Jingzheng Yao
2025Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness.
Piyushi Manupriya, Himanshu, Saketha Nath Jagarlapudi, Ganesh Ghalme
2025Multi-agent Reinforcement Learning in the All-or-Nothing Public Goods game on Networks.
Benedikt Valentin Meylahn
2025Multi-objective Reinforcement Learning with Nonlinear Preferences: Provable Approximation for Maximizing Expected Scalarized Return.
Nianli Peng, Muhang Tian, Brandon Fain
2025Multiagent Systems, and the Search for Appropriate Foundations: A Personal Journey and Retrospective.
Jeffrey S. Rosenschein
2025Multimodal Agentic Model Predictive Control.
Saptarashmi Bandyopadhyay, John (Jack) Cole, Tom Goldstein, David Jacobs
2025Multiplayer Games With Incomplete Information for Hyperproperty Verification.
Raven Beutner, Bernd Finkbeiner
2025Nash Equilibrium and Learning Dynamics in Three-Player Matching
Yuma Fujimoto, Kaito Ariu, Kenshi Abe
2025Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences.
Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2025Navigating in a Space of Game Views (extended abstract).
Michael P. Wellman, Katherine Mayo
2025Near-Linear Time Leader Election in Multiagent Networks.
Ajay D. Kshemkalyani, Manish Kumar, Anisur Rahaman Molla, Gokarna Sharma
2025Negotiated Reasoning: On Provably Addressing Relative Over-Generalization.
Junjie Sheng, Wenhao Li, Bo Jin, Hongyuan Zha, Jun Wang, Xiangfeng Wang
2025Neighborhood Stability in Assignments on Graphs.
Haris Aziz, Grzegorz Lisowski, Mashbat Suzuki, Jeremy Vollen
2025Networked Agents in the Dark: Team Value Learning under Partial Observability.
Guilherme S. Varela, Alberto Sardinha, Francisco S. Melo
2025Neural DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable Policies.
Kexin Gu Baugh, Luke Dickens, Alessandra Russo
2025Non-obvious Manipulability in Hedonic Games with Friends Appreciation Preferences.
Michele Flammini, Maria Fomenko, Giovanna Varricchio
2025Nucleolus Credit Assignment for Effective Coalitions in Multi-agent Reinforcement Learning.
Yugu Li, Zehong Cao, Jianglin Qiao, Siyi Hu
2025OGS-SLAM: Hybrid ORB-Gaussian Splatting SLAM.
Xiaohan Li, Wenxiang Shen, Dong Liu, Jun Wu
2025Observer-Aware Probabilistic Planning under Partial Observability.
Salomé Lepers, Vincent Thomas, Olivier Buffet
2025Offline Goal-Conditioned Reinforcement Learning with Elastic-Subgoal Diffused Policy Learning.
Yaocheng Zhang, Yuanheng Zhu, Yuqian Fu, Songjun Tu, Dongbin Zhao
2025Offline Meta Reinforcement Learning with Weighted Policy Constraints and Proximal Context Collection.
Haorui Li, Jiaqi Liang, Linjing Li, Daniel Zeng
2025Offline Multi-Agent Preference-based Reinforcement Learning with Agent-aware Direct Preference Optimization.
Qian Kou, Mingyang Li, Zeyang Liu, Long Qian, Zhuoran Chen, Lipeng Wan, Xingyu Chen, Xuguang Lan
2025Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration.
Hai Zhong, Xun Wang, Zhuoran Li, Longbo Huang
2025On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow.
Tonghan Wang, Heng Dong, Yanchen Jiang, David C. Parkes, Milind Tambe
2025On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression.
Zichang Ge, Changyu Chen, Arunesh Sinha, Pradeep Varakantham
2025On Some Fundamental Problems for Multi-Agent Systems Over Multilayer Networks.
Daniel J. Rosenkrantz, Madhav V. Marathe, Zirou Qiu, S. S. Ravi, Richard Edwin Stearns
2025On Stateful Value Factorization in Multi-Agent Reinforcement Learning.
Enrico Marchesini, Andrea Baisero, Rupali Bhati, Christopher Amato
2025On the Complexity of Learning to Cooperate in Populations of Socially Rational Agents.
Saptarashmi Bandyopadhyay, Mustafa Mert Çelikok, Robert Loftin
2025On the Distortion of Multi-Winner Elections on the Line Metric.
Negar Babashah, Hasti Karimi, Masoud Seddighin, Golnoosh Shahkarami
2025On the Effective Horizon of Inverse Reinforcement Learning.
Yiqing Xu, Finale Doshi-Velez, David Hsu
2025On the Existence of EFX Allocations in Multigraphs.
Alkmini Sgouritsa, Minas Marios Sotiriou
2025On the Fairness of Additive Welfarist Rules.
Karen Frilya Celine, Warut Suksompong, Sheung Man Yuen
2025On the Gale-Shapley Algorithm for Stable Matchings with a Partial Honesty Nash Refinement.
James P. Bailey, Craig A. Tovey
2025On the Hardness of Fair Allocation under Ternary Valuations.
Zack Fitzsimmons, Vignesh Viswanathan, Yair Zick
2025On the Limits of Agency in Agent-based Models.
Ayush Chopra, Shashank Kumar, Nurullah Giray Kuru, Ramesh Raskar, Arnau Quera-Bofarull
2025On the Power of Temporal Locality on Online Routing Problems.
Swapnil Guragain, Gokarna Sharma
2025On the Structure of EFX Orientations on Graphs.
Jinghan A. Zeng, Ruta Mehta
2025On-Policy Reinforcement Learning From Failure via Sparse Reward Densification.
Mingkang Wu, Yongcan Cao
2025Online Competitive Information Gathering for Partially Observable Trajectory Games.
Mel Krusniak, Hang Xu, Parker Palermo, Forrest Laine
2025Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model.
Songjun Tu, Jingbo Sun, Qichao Zhang, Xiangyuan Lan, Dongbin Zhao
2025Open-World Classification with Bayesian Gaussian Mixture Models.
Justin Clarke, Przemyslaw Grabowicz, David D. Jensen
2025Opinion Dynamics with Median Aggregation.
Petra Berenbrink, Martin Hoefer, Dominik Kaaser, Marten Maack, Malin Rau, Lisa Wilhelmi
2025Optimal Mechanism Design for Crowdfunding of Public Goods.
Yukun Cheng, Xiaotie Deng, Baqiao Quan
2025Optimising Expectation with Guarantees for Window Mean Payoff in Markov Decision Processes.
Pranshu Gaba, Shibashis Guha
2025Order Symmetry: A New Fairness Criterion for Assignment Mechanisms.
Rupert Freeman, Geoffrey Pritchard, Mark C. Wilson
2025Orpheus: Programming Protocol-Based BDI Agents.
Matteo Baldoni, Samuel Christie, Munindar P. Singh, Amit K. Chopra
2025PANDA: Priority-Based Collision Avoidance Framework for Heterogeneous UAVs Navigating in Dense Airspace.
Agamdeep Singh, Jaskirat Singh, P. B. Sujit
2025PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning.
Kun Hu, Muning Wen, Xihuai Wang, Shao Zhang, Yiwei Shi, Minne Li, Minglong Li, Ying Wen
2025Pabuviz.org: A Visualisation Platform to Explore Participatory Budgeting Elections.
Markus Utke, Simon Rey, Ulle Endriss
2025Parameterized Algorithms for Multiagent Pathfinding on Trees.
Argyrios Deligkas, Eduard Eiben, Robert Ganian, Iyad Kanj, M. S. Ramanujan
2025Parameterized Complexity of Hedonic Games with Enemy-Oriented Preferences.
Martin Durand, Laurin Erlacher, Johanne Müller Vistisen, Sofia Simola
2025Participatory Budgeting Project Strength via Candidate Control.
Piotr Faliszewski, Lukasz Janeczko, Dusan Knop, Jan Pokorný, Simon Schierreich, Mateusz Sluszniak, Krzysztof Sornat
2025Personality-Driven Decision Making in LLM-Based Autonomous Agents.
Lewis Newsham, Daniel Prince
2025Personalized Language Learning: A Multi-Agent System Leveraging LLMs for Teaching Luxembourgish.
Tebourbi Hedi, Sana Nouzri, Yazan Mualla, Amro Najjar
2025Planning for Temporally Extended Goals based on alpha-CTL.
Viviane Bonadia dos Santos, Leliane Nunes de Barros, Maria Viviane de Menezes, Silvio do Lago Pereira
2025Planning, Scheduling, and Execution on the Moon: The CADRE Technology Demonstration Mission.
Gregg R. Rabideau, Joseph A. Russino, Andrew Branch, Nihal Dhamani, Tiago Stegun Vaquero, Steve A. Chien, Jean-Pierre de la Croix, Federico Rossi
2025Policies 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
2025Policy Abstraction and Nash Refinement in Tree-Exploiting PSRO.
Christine Konicki, Mithun Chakraborty, Michael P. Wellman
2025Policy Graphs and Intention: Answering 'Why' and 'How' from a Telic Perspective.
Victor Gimenez-Abalos, Sergio Álvarez-Napagao, Adrián Tormos, Ulises Cortés, Javier Vázquez-Salceda
2025Practical Abstractions for Model Checking Continuous-Time Multi-Agent Systems.
Yan Kim, Wojciech Jamroga, Wojciech Penczek, Laure Petrucci
2025Practical Comparisons of Reservoir Topology Performance and Input Distribution in Digital Reservoir Computers.
Lewis Thelen, Vikram Ravindra
2025Predictability Awareness for Efficient and Robust Multi-Agent Coordination.
Roman Chiva Gil, Daniel Jarne Ornia, Khaled A. Mustafa, Javier Alonso-Mora
2025Predicting Team Performance from Communications in Simulated Search-and-Rescue.
Ali Jalal-Kamali, Nikolos Gurney, David V. Pynadath
2025Predictive Improvement through Latent Space Optimisation.
Alexander McCaffrey, Eduardo Alonso, Esther Mondragón
2025Probabilistic Timed ATL.
Wojciech Jamroga, Marta Kwiatkowska, Wojciech Penczek, Laure Petrucci, Teofil Sidoruk
2025Probably Correct Optimal Stable Matching for Two-Sided Market Under Uncertainty.
Andreas Athanasopoulos, Anne-Marie George, Christos Dimitrakakis
2025Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2025, Detroit, MI, USA, May 19-23, 2025
Sanmay Das, Ann Nowé, Yevgeniy Vorobeychik
2025Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization.
Shengchao Hu, Wanru Zhao, Weixiong Lin, Li Shen, Ya Zhang, Dacheng Tao
2025Pure Nash Equilibrium and Strong Nash Equilibrium Computation in Additive Aggregate Games.
Jared Soundy, Mohammad T. Irfan, Hau Chan
2025Quantitative Operational Monitoring for BDI Agents.
Marie Farrell, Angelo Ferrando, Mengwei Xu
2025RainbowArena: 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
2025RallyDiffuser: A Representation-Guided Diffusion Model Framework for Strategic Planning in Badminton.
Bing-Zhi Ke, Kuang-Da Wang, Wen-Chih Peng
2025Ranking Joint Policies in Dynamic Games using Evolutionary Dynamics.
Natalia Koliou, George A. Vouros
2025Rational Capability in Concurrent Games.
Yinfeng Li, Emiliano Lorini, Munyque Mittelmann
2025ReSCOM: Reward-Shaped Curriculum for Efficient Multi-Agent Communication Learning.
Xinghai Wei, Tingting Yuan, Jie Yuan, Dongxiao Liu, Xiaoming Fu
2025Ready, Bid, Go! On-Demand Delivery Using Fleets of Drones with Unknown, Heterogeneous Energy Storage Constraints.
Mohamed S. Talamali, Genki Miyauchi, Thomas Watteyne, Micael S. Couceiro, Roderich Groß
2025Real-World Testing Matters in Reinforcement Learning for Education.
Anna Riedmann, Carlo D'Eramo, Birgit Lugrin
2025Reasoning and Planning with Dynamic Social Norms.
Taylor Olson, Roberto Salas-Damian, Kenneth D. Forbus
2025Recommending Green Routes for Pedestrians to Reduce the Exposure to Air Pollutants in Barcelona.
Filippo Bistaffa, Sergio Calo Oliveira
2025Reducing Variance Caused by Communication in Decentralized Multi-agent Deep Reinforcement Learning.
Changxi Zhu, Mehdi Dastani, Shihan Wang
2025Regret Guarantees for a UCB-based Algorithm for Volatile Combinatorial Bandits.
Abhishek Kumar, Andra Siva Sai Teja, Ganesh Ghalme, Sujit Gujar, Y. Narahari
2025Reinforcement Learning Based Simulated Annealing.
Nathan Qiu, Daniel Liang
2025Reinforcement Learning-based Approach for Vehicle-to-Building Charging with Heterogeneous Agents and Long Term Rewards.
Fangqi Liu, Rishav Sen, Jose Paolo Talusan, Ava Pettet, Aaron Kandel, Yoshinori Suzue, Ayan Mukhopadhyay, Abhishek Dubey
2025Reputation-Filtered Reward Reshaping: Encouraging Cooperation in High Dimensional Semi-Cooperative Multi-agent Settings.
Hassan Raissouni, Wissal Bekhti, Btissam El Khamlichi, Amal El Fallah Seghrouchni
2025Requirements-based Explainability for Multi Agent Systems.
Sebastian Rodriguez, John Thangarajah, Michael Winikoff
2025Resolving Multiple-Dynamic Model Uncertainty in Hypothesis-Driven Belief-MDPs.
Ofer Dagan, Tyler J. Becker, Zachary N. Sunberg
2025Resolving Social Dilemmas with Minimal Reward Transfer - Extended Abstract.
Richard Willis, Yali Du, Joel Z. Leibo, Michael Luck
2025Resource Allocation under the Latin Square Constraint.
Yasushi Kawase, Bodhayan Roy, Mohammad Azharuddin Sanpui
2025Resource Task Games.
Jessica L. Newman, Enrico H. Gerding, Enrico Marchioni, Baharak Rastegari
2025Responsible AI and Autonomous Agents: Governance, Ethics, and Sustainable Innovation.
Virginia Dignum
2025Responsible Autonomy for Hybrid Intelligence.
Anastasia Sophia Apeiron
2025Responsible Uplift Modeling.
Lihi Idan, Ming Li
2025Rethinking Explainable AI: Explanations can be Deceiving.
Peta Masters, Daniel Gallagher, Luc Moreau, Mor Vered
2025Revisiting Communication Efficiency in Multi-Agent Reinforcement Learning from the Dimensional Analysis Perspective.
Chuxiong Sun, Peng He, Rui Wang, Changwen Zheng
2025Robin Hood Reachability Bidding Games.
Shaull Almagor, Guy Avni, Neta Dafni
2025Robust Policy Learning for Multi-UAV Collision Avoidance with Causal Feature Selection.
Jiafan Zhuang, Gaofei Han, Zihao Xia, Che Lin, Boxi Wang, Dongliang Wang, Wenji Li, Zhifeng Hao, Ruichu Cai, Zhun Fan
2025Robust Strategies for Stochastic Multi-Agent Systems.
Raphaël Berthon, Joost-Pieter Katoen, Munyque Mittelmann, Aniello Murano
2025Robustness of Epistemic Gossip Protocols Against Data Loss.
Yoshikatsu Kobayashi, Koji Hasebe
2025Role of State in Partially Observable Reinforcement Learning.
Andrea Baisero
2025SCMRAG: Self-Corrective Multihop Retrieval Augmented Generation System for LLM Agents.
Rishabh Agrawal, Murtaza Asrani, Hadi Youssef, Apurva Narayan
2025SFedRec: A Federated Learning Framework for Dynamic Session-based Recommendation.
Hexiao Zhang, Yanni Tang, Jiamou Liu, Wu Chen
2025Safe Entropic Agents under Team Constraints.
Ayhan Alp Aydeniz, Enrico Marchesini, Robert Tyler Loftin, Christopher Amato, Kagan Tumer
2025Safe Multi-Agent Learning via Shielding in Decentralized Environments.
Daniel Melcer
2025Safe Pareto Improvements for Expected Utility Maximizers in Program Games.
Anthony DiGiovanni, Jesse Clifton, Nicolas Macé
2025Safe Systems with Unsafe Agents: Challenges and Opportunities.
Jeremy Bellay, J. Timothy Balint, Stephen A. Boxwell, Jeffrey Geppert
2025Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement Learning.
Jingbo Sun, Songjun Tu, Qichao Zhang, Ke Chen, Dongbin Zhao
2025Satisfactory Budget Division.
Laurent Gourvès, Michael Lampis, Nikolaos Melissinos, Aris Pagourtzis
2025Scalable Offline Reinforcement Learning for Mean Field Games.
Axel Brunnbauer, Julian Lemmel, Zahra Babaiee, Sophie A. Neubauer, Radu Grosu
2025Sea-cret Agents: Maritime Abduction for Region Generation to Expose Dark Vessel Trajectories.
Divyagna Bavikadi, Nathaniel Lee, Paulo Shakarian, Chad Parvis
2025Selecting Interlacing Committees.
Chris Dong, Martin Bullinger, Tomasz Was, Larry Birnbaum, Edith Elkind
2025Self-Interpretable Reinforcement Learning via Rule Ensembles.
Yue Yang, Fan Yang, Yu Bai, Hao Wang
2025Self-Supervised Multi-Agent Diversity with Nonparametric Entropy Maximization.
Tianxu Li, Kun Zhu
2025Selfish Behavior and Resource Competition in Multi-Agent Systems.
Costas Courcoubetis, Antonis Dimakis
2025Serious Games for Ethical Preference Elicitation.
Jayati Deshmukh, Zijie Liang, Vahid Yazdanpanah, Sebastian Stein, Sarvapali D. Ramchurn
2025Shapley Value-based Approach for Distributing Revenue of Matchmaking of Private Transactions in Blockchains.
Rasheed, Parth Nimish Desai, Yash Chaurasia, Sujit Gujar
2025Shifting Power: Leveraging LLMs to Simulate Human Aversion in ABMs of Bilateral Financial Exchanges, A bond market study.
Alicia Vidler, Toby Walsh
2025ShipNaviSim: Data-Driven Simulation for Real-World Maritime Navigation.
Quang Anh Pham, Janaka Chathuranga Brahmanage, Akshat Kumar
2025Simplifying Imperfect Recall Games.
Hugo Gimbert, Soumyajit Paul, B. Srivathsan
2025Simulating Blockchain Applications in Large-Value Payment Systems through Agent-Based Modeling.
Kenneth See, Nicholas MacGregor Garcia, Xiaofan Li
2025Simulating Tracking Data to Advance Sports Analytics Research.
David Radke, Kyle Tilbury
2025Simulating and Evaluating Generative Modeling and Collaborative Filtering in Complex Social Networks.
Wen Dong, Fairul Mohd-Zaid
2025Single-Agent Planning in a Multi-Agent System: A Unified Framework for Type-Based Planners.
Fengming Zhu, Fangzhen Lin
2025SmartPilot: Agent-Based CoPilot for Intelligent Manufacturing.
Chathurangi Shyalika, Renjith Prasad, Alaa T. Al Ghazo, Darssan Eswaramoorthi, Sara Shree Muthuselvam, Amit P. Sheth
2025Smooth Information Gathering in Two-Player Noncooperative Games.
Fernando Palafox, Jesse Milzman, Dong Ho Lee, Ryan Park, David Fridovich-Keil
2025Social Ranking for Feature Selection.
Laurent Gourvès, Stefano Moretti, Satya Tamby
2025Socratic: Enhancing Human Teamwork via AI-enabled Coaching.
Sangwon Seo, Bing Han, Rayan Ebnali Harari, Roger D. Dias, Marco A. Zenati, Eduardo Salas, Vaibhav V. Unhelkar
2025Soft Condorcet Optimization for Ranking of General Agents.
Marc Lanctot, Kate Larson, Michael Kaisers, Quentin Berthet, Ian Gemp, Manfred Diaz, Roberto-Rafael Maura-Rivero, Yoram Bachrach, Anna Koop, Doina Precup
2025Speed vs Accuracy in Goal Recognition for Time-Sensitive Applications: A Game-Theoretic Approach.
Sara Bernardini, Fabio Fagnani, Santiago Franco
2025Stochastic
Guanyu Nie, Vaneet Aggarwal, Christopher John Quinn
2025Strategic Manipulation of Preferences in the Rank Minimization Mechanism.
Mayesha Tasnim, Youri Weesie, Sennay Ghebreab, Max Baak
2025Surprise! Surprise! Learn and Adapt.
Huma Samin, Dylan J. Walton, Nelly Bencomo
2025Symplex: Learning Social Norm Hierarchies by Combining Autonomous Exploration and Expert Imitation.
Oliver Deane, Oliver Ray
2025Synergistic Traffic Assignment.
Thomas Bläsius, Adrian Feilhauer, Markus Jung, Moritz Laupichler, Peter Sanders, Michael Zündorf
2025Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning.
Lunjun Liu, Weilai Jiang, Yaonan Wang
2025Tackling Sparsity in Designated Driver Dispatch with Multi-Agent Reinforcement Learning.
Jiaxuan Jiang, Ling Pan, Lin Zhou, Longbo Huang, Zhixuan Fang
2025Tackling Temporal Deontic Challenges with Equilibrium Logic.
Davide Soldà, Pedro Cabalar, Agata Ciabattoni, Emery A. Neufeld
2025Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics.
Somnath Hazra, Pallab Dasgupta, Soumyajit Dey
2025Tackling the Protocol Problem in Automated Negotiation.
Yasser Mohammad
2025Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction.
Taher Jafferjee, Juliusz Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni
2025Task-Agnostic Contrastive pre-Training for Inter-Agent Communication.
Peihong Yu, Manav Mishra, Syed Zaidi, Pratap Tokekar
2025Teamwork Makes the Defense Work: Comprehensive Vulnerability Defense Resource Allocation.
Siyu Liu, Rida A. Bazzi, Fei Fang, Tiffany Bao
2025Temporal Fair Division of Indivisible Items.
Edith Elkind, Alexander Lam, Mohamad Latifian, Tzeh Yuan Neoh, Nicholas Teh
2025Temporal Network Creation Games: The Impact of Non-Locality and Terminals.
Davide Bilò, Sarel Cohen, Tobias Friedrich, Hans Gawendowicz, Nicolas Klodt, Pascal Lenzner, George Skretas
2025The Agent Paradox: Can Multi-Agent Systems Replicate the Complexity of Human Cognition and Social Behavior?
Rada Mihalcea
2025The Bakers and Millers Game with Restricted Locations.
Simon Krogmann, Pascal Lenzner, Alexander Skopalik
2025The Costly Bargain: Economic Impacts of Price-Seeking Behavior in Aging Populations.
Fuguang Chen, Alan Tsang
2025The Degree of (Extended) Justified Representation and Its Optimization.
Biaoshuai Tao, Chengkai Zhang, Houyu Zhou
2025The Effect of Agent-based Feedback on Prosociality in Social Dilemmas.
Jennifer Renoux, Filipa Correia, Joana Campos, Lucas Morillo-Mendez, Neziha Akalin, Fernando P. Santos, Ana Paiva
2025The Game Academy: Learn while playing, and play while learning!
Simon Rey, Ulle Endriss
2025The Impact of Artificial Agents in Human Cooperation Through Indirect Reciprocity.
Alexandre S. Pires
2025The Many Challenges of Human-Like Agents in Virtual Game Environments.
Maciej Swiechowski, Dominik Slezak
2025The Metric Distortion of Randomized Social Choice Functions: C1 Maximal Lottery Rules and Simulations.
Fabian Frank, Patrick Lederer
2025The Next Level of Long-Term Agent Autonomy - Proactively Acquiring Knowledge and Abilities.
Hermine J. Grosinger
2025The Price of Anarchy in Spatial Social Choice.
James P. Bailey, Craig A. Tovey
2025The Strong Core of Housing Markets with Partial Order Preferences.
Ildikó Schlotter, Lydia Mirabel Mendoza-Cadena
2025Tighter Value-Function Approximations for POMDPs.
Merlijn Krale, Wietze Koops, Sebastian Junges, Thiago D. Simão, Nils Jansen
2025Timed Obstruction Logic: A Timed Approach to Dynamic Game Reasoning.
Jean Leneutre, Vadim Malvone, James Ortiz
2025To Spend or to Gain: Online Learning in Repeated Karma Auctions.
Damien Berriaud, Ezzat Elokda, Devansh Jalota, Emilio Frazzoli, Marco Pavone, Florian Dörfler
2025To Stand on the Shoulders of Giants: Should We Protect Initial Discoveries in Multi-Agent Exploration?
Hodaya Lampert, Reshef Meir, Kinneret Teodorescu
2025Together We Rise: Optimizing Real-Time Multi-Robot Task Allocation using Coordinated Heterogeneous Plays.
Aritra Pal, Anandsingh Chauhan, Mayank Baranwal
2025Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools.
Panagiotis Lymperopoulos, Vasanth Sarathy
2025Towards 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
2025Towards Efficient Online Goal Recognition through Deep Learning.
Lorenzo Serina, Mattia Chiari, Alfonso Emilio Gerevini, Luca Putelli, Ivan Serina
2025Towards Envy-Freeness Relaxations for General Nonmonotone Valuations.
Umang Bhaskar, Gunjan Kumar, Yeshwant Pandit, Rakshitha
2025Towards Fair and Efficient Policy Learning in Cooperative Multi-Agent Reinforcement Learning.
Umer Siddique, Peilang Li, Yongcan Cao
2025Towards Fair and Efficient Public Transportation: A Bus Stop Model.
Martin Bullinger, Edith Elkind, Mohamad Latifian
2025Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact.
Yunfan Zhao, Niclas Boehmer, Aparna Taneja, Milind Tambe
2025Trading-off Accuracy and Communication Cost in Federated Learning.
Mattia Jacopo Villani, Emanuele Natale, Frederik Mallmann-Trenn
2025Traffic Anomaly Detection through Generative Modeling of Multi-Agent Interactions in Traffic Flow.
Zhuojun Chen, Tacitus Hui, Xinghua Zhu, Dongzhe Su
2025Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning.
Bidipta Sarkar, Warren Xia, C. Karen Liu, Dorsa Sadigh
2025Transformer Guided Coevolution: Improved Team Formation in Multiagent Adversarial Games.
Pranav Rajbhandari, Prithviraj Dasgupta, Donald A. Sofge
2025Translating Multi-Agent Modal Logics of Knowledge and Belief into Decidable First-Order Fragments.
Qihui Feng, Hannah Wilk, Shakil M. Khan, Gerhard Lakemeyer
2025Truman: A Large Language Model-based Multi-agent Simulator for Synthetic Money Laundering Data Generation.
Dattatray Vishnu Kute, Zihao Xu, Yuekang Li, Fethi Rabhi
2025Truthful Mechanisms for Linear Bandit Games with Private Contexts.
Yiting Hu, Lingjie Duan
2025Truthful and Welfare-maximizing Resource Scheduling with Application to Electric Vehicles.
Ramsundar Anandanarayanan, Swaprava Nath, Prasant Misra
2025Tyranny of the Minority in Social Choice: a Call to Arms.
Reshef Meir
2025UAV Marketplace Simulation Tool for BVLOS Operations.
Kivanç Serefoglu, Önder Gürcan, Reyhan Aydogan
2025Uncertain Machine Ethics Planning.
Simon Kolker, Louise A. Dennis, Ramon Fraga Pereira, Mengwei Xu
2025Uncertainty Expression for Human-Robot Task Communication.
David Porfirio, Mark Roberts, Laura M. Hiatt
2025Uncertainty-Aware Opponent Modeling for Deep Reinforcement Learning.
Likun Yang, Pei Xu, Shiyue Cao, Yongjian Ren, Xiaotang Chen, Kaiqi Huang
2025Unlocking the Potential of Decentralized LLM-based MAS: Privacy Preservation and Monetization in Collective Intelligence.
Yingxuan Yang, Qiuying Peng, Jun Wang, Ying Wen, Weinan Zhang
2025Unveiling Decision Intention for Cooperative Multi-Agent Reinforcement Learning.
Zeren Zhang, Zhiwei Xu, Guangchong Zhou, Dapeng Li, Bin Zhang, Guoliang Fan
2025Using Assistance Rewards Without Introducing Bias: Overcoming Sparse Rewards in Multi-Agent Reinforcement Learning.
Yue Yang, Bernd Meyer, Frits de Nijs
2025VITAMIN: VerIficaTion of A MultI ageNt system.
Angelo Ferrando, Vadim Malvone
2025Value Iteration for Learning Concurrently Executable Robotic Control Tasks.
Sheikh A. Tahmid, Gennaro Notomista
2025Voter Model Meets Rumour Spreading: A Study of Consensus Protocols on Graphs with Agnostic Nodes.
Marcelo Matheus Gauy, Anna Abramishvili, Eduardo Colli, Tiago Madeira, Frederik Mallmann-Trenn, Vinícius Franco Vasconcelos, David Kohan Marzagão
2025Voter Participation Control in Online Polls.
Koustav De, Palash Dey, Swagato Sanyal
2025Weighted Envy Freeness With Bounded Subsidies.
Noga Klein Elmalem, Rica Gonen, Erel Segal-Halevi
2025Weighted Envy-free Allocation with Subsidy.
Haris Aziz, Xin Huang, Kei Kimura, Indrajit Saha, Zhaohong Sun, Mashbat Suzuki, Makoto Yokoo
2025Welfare Approximation in Additively Separable Hedonic Games.
Martin Bullinger, Vaggos Chatziafratis, Parnian Shahkar
2025What Is a Counterfactual Cause in Action Theories?
Daxin Liu, Vaishak Belle
2025When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgements Based on Empirical Data (Extended Abstract).
Edmond Awad, Sydney Levine, Andrea Loreggia, Nicholas Mattei, Iyad Rahwan, Francesca Rossi, Kartik Talamadupula, Joshua B. Tenenbaum, Max Kleiman-Weiner
2025When to Stop Getting Tested: The Theory of Diagnostic Tests.
Anson Kahng, Joseph Saber
2025Where 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
2025Who Am I Dealing With? Explaining the Designer's Hidden Intentions.
Turgay Caglar, Sarath Sreedharan, Mor Vered
2025Who Reviews The Reviewers? A Multi-Level Jury Problem.
Ben Abramowitz, Omer Lev, Nicholas Mattei
2025Why Instant-Runoff Voting Is So Resilient to Coalitional Manipulation: Phase Transitions in the Perturbed Culture.
François Durand
2025Will Systems of LLM Agents Lead to Cooperation: An Investigation into a Social Dilemma.
Richard Willis, Yali Du, Joel Z. Leibo
2025[COMP24] The Automated Negotiating Agents Competition (ANAC) 2024 Challenges and Results.
Reyhan Aydogan, Tim Baarslag, Tamara C. P. Florijn, Katsuhide Fujita, Catholijn M. Jonker, Yasser Mohammad
2025xSRL: Safety-Aware Explainable Reinforcement Learning - Safety as a Product of Explainability.
Risal Shahriar Shefin, Md Asifur Rahman, Thai Le, Sarra M. Alqahtani
2025β-DQN: Improving Deep Q-Learning By Evolving the Behavior.
Hongming Zhang, Fengshuo Bai, Chenjun Xiao, Chao Gao, Bo Xu, Martin Müller