multi-agent reinforcement learning

Sample-Efficient Multiagent Reinforcement Learning with Reset Replay ICML 2024 Sample-Efficient Multi-Agent RL: An Optimization Perspective ICLR 2024 Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning NeurIPS 2024 Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks (Extended Abstract) IJCAI 2024 Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing AAAI 2024 Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning AAAI 2024 SOCIALGYM 2.0: Simulator for Multi-Robot Learning and Navigation in Shared Human Spaces AAAI 2024 Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution ICLR 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 Sustainability of Data Center Digital Twins with Reinforcement Learning AAAI 2024 SustainDC: Benchmarking for Sustainable Data Center Control NeurIPS 2024 The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization NeurIPS 2024 Understanding Model Selection for Learning in Strategic Environments NeurIPS 2024 UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution AAAI 2024 Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training NeurIPS 2024 WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control NeurIPS 2024 Whittle Index with Multiple Actions and State Constraint for Inventory Management ICLR 2024 X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner IJCAI 2024 ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination NeurIPS 2024 ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency AAAI 2023 A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems ICML 2023 A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning JMLR 2023 An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning ICML 2023 Anticipatory Fictitious Play IJCAI 2023