閱讀QTRAN:Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
寫在前面：這篇文章我也是前前後後看了幾遍，還在網上找了一些資料，但是感覺始終也沒太看明白，就先把目前的理解寫在這裏，等以後有了新的理解再更新。要強調一點的是，這篇文章我剛讀的時候是真的超級懵，但是不放棄偶爾就讀偶爾就讀，再結合別人的理解確實還是會有逐漸深入的理解的，所以以後遇到難的文章也不要喪氣，平常心慢慢來（當然主要可能還是我的水平不行，讀起來才這麼難，hh） 目錄 題目作者 摘要 相關工作介紹
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相關文章
- 1. 閱讀Qatten：A General Framework for Cooperative Multiagent Reinforcement Learning
- 2. Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning
- 3. FeUdal Networks for Hierarchical Reinforcement Learning 閱讀筆記
- 4. Deep Reinforcement Learning for Dialogue Generation閱讀筆記
- 5. 論文閱讀筆記《Ranking Sentences for Extractive Summarization with Reinforcement Learning》
- 6. 閱讀《SeedNet: Automatic Seed Generation with Deep Reinforcement Learning for Robust Interactive Segme》
- 7. RL論文閱讀【四】Deep Reinforcement Learning with Double Q-learning（Double DQN）
- 8. Introduction to Reinforcement Learning
- 9. Reinforcement Learning for Relation Classification from Noisy Data閱讀筆記
- 10. 解讀continuous control with deep reinforcement learning（DDPG）