multi-agent reinforcement learning

Universally Expressive Communication in Multi-Agent Reinforcement Learning NeurIPS 2022 WarpDrive: Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU JMLR 2022 Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy ICML 2022 When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently? ICLR 2022 A Collaborative Multi-agent Reinforcement Learning Framework for Dialog Action Decomposition EMNLP 2021 A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning NeurIPS 2021 An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning NeurIPS 2021 A New Formalism, Method and Open Issues for Zero-Shot Coordination ICML 2021 A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning ICML 2021 Celebrating Diversity in Shared Multi-Agent Reinforcement Learning NeurIPS 2021 Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition ICML 2021 Collaborating with Humans without Human Data NeurIPS 2021 Communication in Multi-Agent Reinforcement Learning: Intention Sharing ICLR 2021 Competitive policy optimization UAI 2021 Continuous Coordination As a Realistic Scenario for Lifelong Learning ICML 2021 ContriQ: Ally-Focused Cooperation and Enemy-Concentrated Confrontation in Multi-Agent Reinforcement Learning ACML 2021 Cooperative Exploration for Multi-Agent Deep Reinforcement Learning ICML 2021 Coordinated Proximal Policy Optimization NeurIPS 2021 Coordination Between Individual Agents in Multi-Agent Reinforcement Learning AAAI 2021 Correcting experience replay for multi-agent communication ICLR 2021 Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning CoRL 2021 Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning AAAI 2021 Decentralized Q-learning in Zero-sum Markov Games NeurIPS 2021 DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning ICML 2021 DOP: Off-Policy Multi-Agent Decomposed Policy Gradients ICLR 2021