RaghuHemadri / Multi-Agent-Reinforcement-Learning-Survey-Papers

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Multi-Agent Reinforcement Learning Survey/Papers

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.

Overview

Tutorial and Books

Review Papers

Research Papers

Framework

Joint action learning

Cooperation and competition

Coordination

Security

Self-Play

Learning To Communicate

Transfer Learning

Imitation and Inverse Reinforcement Learning

Meta Learning

Application

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