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Multi-Agent Reinforcement Learning

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25 January 2019


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Paper Collection of Multi-Agent Reinforcement Learning (MARL)

Multi-Agent Reinforcement Learning is a very interesting research area, which has strong connections with single-agent RL, multi-agent systems, game theory, evolutionary computation and optimization theory.

This is a collection of research and review papers of multi-agent reinforcement learning (MARL). The Papers are sorted by time. Any suggestions and pull requests are welcome.

The sharing principle of these references here is for research. If any authors do not want their paper to be listed here, please feel free to contact Lantao Yu (Email: lantaoyu [AT] hotmail.com).

Tutorial and Books

Review Papers

Research Papers

Framework

Joint action learning

Cooperation and competition

Coordination

Security

Self-Play

Learning To Communicate

Transfer Learning

Inverse Reinforcement Learning

Application

Meta Learning


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