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# 李宏毅深度强化学习笔记(LeeDeepRL-Notes)
## 笔记在线阅读地址
在线阅读地址:https://datawhalechina.github.io/leedeeprl-notes/
## 课程在线观看地址
- bilibili[李宏毅《深度强化学习》](https://www.bilibili.com/video/BV1MW411w79n)
## 目录
- [P1 Policy Gradient](https://datawhalechina.github.io/leedeeprl-notes/#/chapter1/chapter1)
- [P2 Proximal Policy Optimization (PPO)](https://datawhalechina.github.io/leedeeprl-notes/#/chapter2/chapter2)
- [P3 Q-learning (Basic Idea)](https://datawhalechina.github.io/leedeeprl-notes/#/chapter3/chapter3)
- [P4 Q-learning (Advanced Tips)](https://datawhalechina.github.io/leedeeprl-notes/#/chapter4/chapter4)
- [P5 Q-learning (Continuous Action)](https://datawhalechina.github.io/leedeeprl-notes/#/chapter5/chapter5)
- [P6 Actor-Critic](https://datawhalechina.github.io/leedeeprl-notes/#/chapter6/chapter6)
- [P7 Sparse Reward](https://datawhalechina.github.io/leedeeprl-notes/#/chapter7/chapter7)
- [P8 Imitation Learning](https://datawhalechina.github.io/leedeeprl-notes/#/chapter8/chapter8)
## 主要贡献者
- [@qiwang067](https://github.com/qiwang067)
## 关注我们
<div align=center><img src="https://raw.githubusercontent.com/datawhalechina/pumpkin-book/master/res/qrcode.jpeg" width = "250" height = "270" alt="Datawhale,一个专注于AI领域的学习圈子。初衷是for the learner,和学习者一起成长。目前加入学习社群的人数已经数千人,组织了机器学习,深度学习,数据分析,数据挖掘,爬虫,编程,统计学,Mysql,数据竞赛等多个领域的内容学习,微信搜索公众号Datawhale可以加入我们。"></div>
## LICENSE
<a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/"><img alt="知识共享许可协议" style="border-width:0" src="https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png" /></a><br />本作品采用<a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/">知识共享署名-非商业性使用-相同方式共享 4.0 国际许可协议</a>进行许可。