阅读QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

时间 2021-01-02

标签多智能体强化学习繁體版

原文原文链接

接上文VDN，本来我觉得QMIX全文会很难读，后来发现不是，哈哈，又畏难了，希望我挑战QTRAN和Qatten的时候也能这样。 QMIX 题目作者摘要方法实验和结果其他题目作者 ICML18，作者是COMA那个团队，老师应该就是 Shimon Whiteson，好像是Peter Stone的学生，后者是做多智能体的大佬。摘要这篇文章是接着VDN做的，也就是对于基于team rewar

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3. Deep Reinforcement Learning for Dialogue Generation阅读笔记
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6. Reinforcement Learning: value function approximation
7. Deep Reinforcement Learning for List-wise Recommendations
8. Reinforcement Learning（二）：Value-Based
9. FeUdal Networks for Hierarchical Reinforcement Learning 阅读笔记
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1. QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning笔记
2. 阅读Qatten：A General Framework for Cooperative Multiagent Reinforcement Learning
3. Deep Reinforcement Learning for Dialogue Generation阅读笔记
4. Deep Reinforcement Learning for Dialogue Generation 论文阅读 A Diversity-Promoting Objective Function fo
5. [Reinforcement Learning] Value Function Approximation
6. Reinforcement Learning: value function approximation
7. Deep Reinforcement Learning for List-wise Recommendations
8. Reinforcement Learning（二）：Value-Based
9. FeUdal Networks for Hierarchical Reinforcement Learning 阅读笔记
10. 论文阅读：(LIRD)Deep Reinforcement Learning for List-wise Recommendations

>>更多相关文章<<