阅读Qatten：A General Framework for Cooperative Multiagent Reinforcement Learning
写在前面：还是那句话，不要怕理论，一个知识点一个知识点地理解。胡适说：“怕什么真理无穷，进一步有一步的欢喜”。 目录 题目作者 摘要 方法 理论证明 实际方法 实验 写在后面 题目作者 2020.06，arXiv，v2。天津大学Jianye Hao老师组的工作，一作的Yaodong Yang也很厉害,可以重点关注郝老师他们组里的工作。 摘要 这篇同样是值分解路线下的一篇工作，作者认为之前的VDN,
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相关文章
- 1. 阅读QTRAN:Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
- 2. FeUdal Networks for Hierarchical Reinforcement Learning 阅读笔记
- 3. 论文阅读：DRN: A Deep Reinforcement Learning Framework for News Recommendation
- 4. Deep Reinforcement Learning for Dialogue Generation阅读笔记
- 5. Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning
- 6. 读文献 Large Scale Learning of General Visual Representations for Transfer 阅读心得
- 7. 论文阅读15：Massively Parallel Methods for Deep Reinforcement Learning
- 8. 论文阅读：(LIRD)Deep Reinforcement Learning for List-wise Recommendations
- 9. 【论文阅读】Discovering Reinforcement Learning Algorithms
- 10. Value-Decomposition Networks For Cooperative Multi-Agent Learning笔记