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| [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) | [第七章习题](https://datawhalechina.github.io/leedeeprl-notes/#/chapter7/chapter7_questions&keywords) | [项目二 使用 DQN 实现 CartPole-v0](https://datawhalechina.github.io/leedeeprl-notes/#/chapter7/project2) |
|[第八章 Q 学习 (连续动作)](https://datawhalechina.github.io/leedeeprl-notes/#/chapter8/chapter8) | [第八章习题](https://datawhalechina.github.io/leedeeprl-notes/#/chapter8/chapter8_questions&keywords) | |
|[第九章 演员-评论员算法](https://datawhalechina.github.io/leedeeprl-notes/#/chapter9/chapter9) | | |
|[第九章 演员-评论员算法](https://datawhalechina.github.io/leedeeprl-notes/#/chapter9/chapter9) | [第九章习题](https://datawhalechina.github.io/leedeeprl-notes/#/chapter9/chapter9_questions&keywords) | |
|[第十章 稀疏奖励](https://datawhalechina.github.io/leedeeprl-notes/#/chapter10/chapter10) | | |
|[第十一章 模仿学习](https://datawhalechina.github.io/leedeeprl-notes/#/chapter11/chapter11) | | |
|[第十二章 深度确定性策略梯度 (DDPG) 算法](https://datawhalechina.github.io/leedeeprl-notes/#/chapter12/chapter12) | | [项目三 使用 Policy-Based 方法实现 Pendulum-v0](https://datawhalechina.github.io/leedeeprl-notes/#/chapter12/project3) |