閱讀QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
接上文VDN，本來我覺得QMIX全文會很難讀，後來發現不是，哈哈，又畏難了，希望我挑戰QTRAN和Qatten的時候也能這樣。 QMIX 題目作者 摘要 方法 實驗和結果 其他 題目作者 ICML18，作者是COMA那個團隊，老師應該就是 Shimon Whiteson，好像是Peter Stone的學生，後者是做多智能體的大佬。 摘要 這篇文章是接着VDN做的，也就是對於基於team rewar
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相關文章
- 1. QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning筆記
- 2. 閱讀Qatten：A General Framework for Cooperative Multiagent Reinforcement Learning
- 3. Deep Reinforcement Learning for Dialogue Generation閱讀筆記
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- 5. [Reinforcement Learning] Value Function Approximation
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- 7. Deep Reinforcement Learning for List-wise Recommendations
- 8. Reinforcement Learning（二）：Value-Based
- 9. FeUdal Networks for Hierarchical Reinforcement Learning 閱讀筆記
- 10. 論文閱讀：(LIRD)Deep Reinforcement Learning for List-wise Recommendations