以下是我整理的多智能体深度强化学习中值得阅读的论文列表以及阅读总结与思考。该列表并不全面,但建议对多智能体强化学习感兴趣的同学朋友们进行阅读~
- Analysis of Emergent Behaviors
- Learning Communication
- Learning Cooperation
- Centralized Training, Decentralized Execution
- VDN: Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward
- QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
- QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
- COMA: Counterfactual Multi-Agent Policy Gradients
- MADDPG: Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
- Independent Learner towards Coordination
- Mean Field Theory
- Network Design
- Others
- Centralized Training, Decentralized Execution
- Agents Modeling Agents
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