Multi-Agent Systems

Provable Policy Gradient Methods for Average-Reward Markov Potential Games AISTATS 2024 Provably Safe Online Multi-Agent Navigation in Unknown Environments CoRL 2024 PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning IJCAI 2024 Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning NeurIPS 2024 Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents NeurIPS 2024 Refined Sample Complexity for Markov Games with Independent Linear Function Approximation (Extended Abstract) COLT 2024 Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue EMNLP 2024 Reward Shaping for Reinforcement Learning with An Assistant Reward Agent ICML 2024 RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning AAAI 2024 RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access Model AISTATS 2024 Robust Communicative Multi-Agent Reinforcement Learning with Active Defense AAAI 2024 Robust cooperative multi-agent reinforcement learning: A mean-field type game perspective L4DC 2024 Robust Multi-Agent Reinforcement Learning for Autonomous Vehicle in Noisy Highway Environments ACML 2024 Roping in Uncertainty: Robustness and Regularization in Markov Games ICML 2024 SAEIR: Sequentially Accumulated Entropy Intrinsic Reward for Cooperative Multi-Agent Reinforcement Learning with Sparse Reward IJCAI 2024 Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage Control IJCAI 2024 Sample-Efficient Multiagent Reinforcement Learning with Reset Replay ICML 2024 Sample-Efficient Multi-Agent RL: An Optimization Perspective ICLR 2024 Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty ICML 2024 Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning NeurIPS 2024 Scalable Safe Policy Improvement for Factored Multi-Agent MDPs ICML 2024 Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks (Extended Abstract) IJCAI 2024 Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach ICML 2024 Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NeurIPS 2024 Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing AAAI 2024