Multi-Agent Systems

Multi-Agent Imitation Learning: Value is Easy, Regret is Hard NeurIPS 2024 Multi-Agent Learning in Contextual Games under Unknown Constraints AISTATS 2024 Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy ICML 2024 Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing ICML 2024 Multi-agent Reinforcement Learning with Hybrid Action Space for Free Gait Motion Planning of Hexapod Robots CoRL 2024 N-agent Ad Hoc Teamwork NeurIPS 2024 N-Agent Ad Hoc Teamwork IJCAI 2024 Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games AISTATS 2024 Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints ICML 2024 OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning AAAI 2024 Off-Agent Trust Region Policy Optimization IJCAI 2024 Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning JMLR 2024 Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints AAAI 2024 Open Ad Hoc Teamwork with Cooperative Game Theory ICML 2024 Opponent Modeling based on Subgoal Inference NeurIPS 2024 Optimistic Multi-Agent Policy Gradient ICML 2024 Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property AAAI 2024 Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning AAAI 2024 Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations AAAI 2024 PMAC: Personalized Multi-Agent Communication AAAI 2024 Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks IJCAI 2024 PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning AAAI 2024 Predicting Future Actions of Reinforcement Learning Agents NeurIPS 2024 Principal-Agent Reward Shaping in MDPs AAAI 2024 Privacy-Preserving Decentralized Actor-Critic for Cooperative Multi-Agent Reinforcement Learning AISTATS 2024