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multi-agent reinforcement learning

534 papers

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Also known as

MARL MADRL

Co-occurring keywords

multi-agent system (1743) cooperative multi-agent (43) nash equilibrium (396) game theory (852) markov game (86) reinforcement learning (4122) policy optimization (630) policy learning (699) cooperative learning (65) value decomposition (31)

Papers

Cooperative Exploration for Multi-Agent Deep Reinforcement Learning ICML 2021
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning ICML 2021
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning ICML 2021
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing ICML 2021
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization NIPS 2021
Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning AAAI 2021
Solving Common-Payoff Games with Approximate Policy Iteration AAAI 2021
Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition AAAI 2021
Value-Decomposition Multi-Agent Actor-Critics AAAI 2021
Coordination Between Individual Agents in Multi-Agent Reinforcement Learning AAAI 2021
Multi-agent Reinforcement Learning for Decentralized Coalition Formation Games AAAI 2021
Strategically efficient exploration in competitive multi-agent reinforcement learning UAI 2021
Minimax sample complexity for turn-based stochastic game UAI 2021
Thompson sampling for Markov games with piecewise stationary opponent policies UAI 2021
Competitive policy optimization UAI 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning ICML 2021
Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning CORL 2021
Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition ICML 2021
ContriQ: Ally-Focused Cooperation and Enemy-Concentrated Confrontation in Multi-Agent Reinforcement Learning ACML 2021
Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning ICML 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot ICML 2021
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning NIPS 2021
Hierarchical Reinforcement Learning for Integrated Recommendation AAAI 2021
Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning IJCAI 2021
VAST: Value Function Factorization with Variable Agent Sub-Teams NIPS 2021