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| [第十一章 模仿学习](https://datawhalechina.github.io/easy-rl/#/chapter11/chapter11) | [第十一章 习题](https://datawhalechina.github.io/easy-rl/#/chapter11/chapter11_questions&keywords) | |
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| [第十二章 深度确定性策略梯度 (DDPG) 算法](https://datawhalechina.github.io/easy-rl/#/chapter12/chapter12) | [第十二章 习题](https://datawhalechina.github.io/easy-rl/#/chapter12/chapter12_questions&keywords) | [项目三 使用 Policy-Based 方法实现 Pendulum-v0](https://datawhalechina.github.io/easy-rl/#/chapter12/project3) |
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| [第十三章 AlphaStar 论文解读](https://datawhalechina.github.io/easy-rl/#/chapter13/chapter13) |||
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## 算法代码实现一览
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## 算法实战
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| 算法名称 | 相关论文材料 | 备注 | 环境 |
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| :----------------------------------------------------------: | :---------------------------------------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: |
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<a href="https://github.com/JohnJim0816"><img width="70" height="70" src="https://github.com/JohnJim0816.png?s=40" alt="pic"></a><br>
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<a href="https://github.com/JohnJim0816">John Jim</a>
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<p>项目设计<br> 北京大学</p>
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<p>算法实战<br> 北京大学</p>
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