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conftrace_

multi-agent reinforcement learning

672 papers

MARL

Papers

Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability ICML 2023 A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning JMLR 2023 Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning NeurIPS 2023 Boosting Multi-agent Reinforcement Learning via Contextual Prompting JMLR 2023 Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks ICLR 2023 Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation COLT 2023 Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopically Rational Followers? JMLR 2023 Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication ICLR 2023 Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning ICLR 2023 Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning IJCAI 2023 Complementary Attention for Multi-Agent Reinforcement Learning ICML 2023 Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learning UAI 2023 Consensus Learning for Cooperative Multi-Agent Reinforcement Learning AAAI 2023 Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning ICML 2023 Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition AAAI 2023 Convergence rates for localized actor-critic in networked Markov potential games UAI 2023 Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation ICML 2023 DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning AAAI 2023 Decentralized Anomaly Detection in Cooperative Multi-Agent Reinforcement Learning IJCAI 2023 Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty JMLR 2023 DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning AAAI 2023 Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning NeurIPS 2023 Deep Hierarchical Communication Graph in Multi-Agent Reinforcement Learning IJCAI 2023 DIFFER:Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning NeurIPS 2023 Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data ICLR 2023