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fix some errors and add new chapters

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2020-07-15 21:13:50 +08:00
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- bilibili：[李宏毅《深度强化学习》](https://www.bilibili.com/video/BV1MW411w79n)
## 目录
- [P1 策略梯度](https://datawhalechina.github.io/leedeeprl-notes/#/chapter1/chapter1)
- [P2 近端策略优化 (PPO) 算法](https://datawhalechina.github.io/leedeeprl-notes/#/chapter2/chapter2)
- [P3 Q 学习 (基本概念)](https://datawhalechina.github.io/leedeeprl-notes/#/chapter3/chapter3)
- [P4 Q 学习 (进阶技巧)](https://datawhalechina.github.io/leedeeprl-notes/#/chapter4/chapter4)
- [P5 Q 学习 (连续动作)](https://datawhalechina.github.io/leedeeprl-notes/#/chapter5/chapter5)
- [P6 演员-评论员算法](https://datawhalechina.github.io/leedeeprl-notes/#/chapter6/chapter6)
- [P7 稀疏奖励](https://datawhalechina.github.io/leedeeprl-notes/#/chapter7/chapter7)
- [P8 模仿学习](https://datawhalechina.github.io/leedeeprl-notes/#/chapter8/chapter8)
- [P9 深度确定性策略梯度 (DDPG) 算法](https://datawhalechina.github.io/leedeeprl-notes/#/chapter9/chapter9)
- [P1 强化学习基础](https://datawhalechina.github.io/leedeeprl-notes/#/chapter1/chapter1)
- [P2 表格型方法](https://datawhalechina.github.io/leedeeprl-notes/#/chapter2/chapter2)
- [P3 策略梯度](https://datawhalechina.github.io/leedeeprl-notes/#/chapter3/chapter3)
- [P4 近端策略优化 (PPO) 算法](https://datawhalechina.github.io/leedeeprl-notes/#/chapter4/chapter4)
- [P5 Q 学习 (基本概念)](https://datawhalechina.github.io/leedeeprl-notes/#/chapter5/chapter5)
- [P6 Q 学习 (进阶技巧)](https://datawhalechina.github.io/leedeeprl-notes/#/chapter6/chapter6)
- [P7 Q 学习 (连续动作)](https://datawhalechina.github.io/leedeeprl-notes/#/chapter7/chapter7)
- [P8 演员-评论员算法](https://datawhalechina.github.io/leedeeprl-notes/#/chapter8/chapter8)
- [P9 稀疏奖励](https://datawhalechina.github.io/leedeeprl-notes/#/chapter9/chapter9)
- [P10 模仿学习](https://datawhalechina.github.io/leedeeprl-notes/#/chapter10/chapter10)
- [P11 深度确定性策略梯度 (DDPG) 算法](https://datawhalechina.github.io/leedeeprl-notes/#/chapter11/chapter11)
## 主要贡献者