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2020-09-07 10:42:58 +08:00
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|[第四章 策略梯度](https://datawhalechina.github.io/leedeeprl-notes/#/chapter4/chapter4) | [第四章习题](https://datawhalechina.github.io/leedeeprl-notes/#/chapter4/chapter4_questions&keywords) | |
|[第五章 近端策略优化 (PPO) 算法](https://datawhalechina.github.io/leedeeprl-notes/#/chapter5/chapter5) | [第五章习题](https://datawhalechina.github.io/leedeeprl-notes/#/chapter5/chapter5_questions&keywords) | |
| [第六章 Q 学习 (基本概念)](https://datawhalechina.github.io/leedeeprl-notes/#/chapter6/chapter6)| [第六章习题](https://datawhalechina.github.io/leedeeprl-notes/#/chapter6/chapter6_questions&keywords) | |
|[第七章 Q 学习 (进阶技巧)](https://datawhalechina.github.io/leedeeprl-notes/#/chapter7/chapter7) | | |
|[第七章 Q 学习 (进阶技巧)](https://datawhalechina.github.io/leedeeprl-notes/#/chapter7/chapter7) | [第七章习题](https://datawhalechina.github.io/leedeeprl-notes/#/chapter7/chapter7_questions&keywords) | |
|[第八章 Q 学习 (连续动作)](https://datawhalechina.github.io/leedeeprl-notes/#/chapter8/chapter8) | | |
|[第九章 演员-评论员算法](https://datawhalechina.github.io/leedeeprl-notes/#/chapter9/chapter9) | | |
|[第十章 稀疏奖励](https://datawhalechina.github.io/leedeeprl-notes/#/chapter10/chapter10) | | |