Multi-Agent Systems

Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies COLING 2024 Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning AAAI 2024 Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates NeurIPS 2024 SOCIALGYM 2.0: Simulator for Multi-Robot Learning and Navigation in Shared Human Spaces AAAI 2024 Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration ICML 2024 Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game Approach ICML 2024 Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution ICLR 2024 Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NeurIPS 2024 Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos AAAI 2024 STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations IJCAI 2024 STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning AAAI 2024 Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling AISTATS 2024 Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments ICML 2024 Sustainability of Data Center Digital Twins with Reinforcement Learning AAAI 2024 T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration AAAI 2024 TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient AAAI 2024 TaxoCritic: Exploring Credit Assignment in Taxonomy Induction with Multi-Critic Reinforcement Learning COLING 2024 TEAMSTER: Model-Based Reinforcement Learning for Ad Hoc Teamwork (Abstract Reprint) AAAI 2024 The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization NeurIPS 2024 To Promote Full Cooperation in Social Dilemmas, Agents Need to Unlearn Loyalty IJCAI 2024 Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games AAAI 2024 Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints ICML 2024 UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution AAAI 2024 Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE NeurIPS 2024 Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training NeurIPS 2024