动手学强化学习

gymnasium==0.29.1

https://www.zhihu.com/people/zoujiu1

https://zoujiu.blog.csdn.net/

Chapter 7 DQN Algorithm

blogs

https://zhuanlan.zhihu.com/p/656515516 动手学强化学习reinforcement learning-chapter-seven-DQN algorithm，阅读的笔记

Numpy implementation of Chapter 7 DQN Algorithm

difference: self.epsilon = self.epsilon * 0.996 if self.epsilon > 0.0001 else 0.0001, network with numpy and so on.

run

python ./numpy_RL_reinforcement_learning/chapter7_DQN.py
python ./chapter7.py

Chapter 8 DQN改进以后的算法

blogs

https://zhuanlan.zhihu.com/p/656614302 动手学强化学习reinforcement learning-chapter-eight-DQN改进 algorithm，阅读的笔记

Numpy implementation of Chapter 8 DQN improvement Algorithm

run

python ./numpy_RL_reinforcement_learning/chapter8.py
python ./chapter8.py

Chapter 9 策略梯度算法

blogs

https://zhuanlan.zhihu.com/p/656835865 动手学强化学习reinforcement learning-chapter-nine-策略梯度算法，阅读的笔记

Numpy implementation of Chapter 9 策略梯度算法

difference: self.epsilon = self.epsilon * 0.996 if self.epsilon > 0.0001 else 0.0001, network with numpy and so on.

run

python ./numpy_RL_reinforcement_learning/chapter9_策略梯度算法.py
python ./chapter9.py

Chapter 10 Actor-Critic 算法

blogs

https://zhuanlan.zhihu.com/p/657087227 动手学强化学习reinforcement learning-chapter-ten-Actor-Critic algorithm，阅读的笔记

Numpy implementation of Chapter 10 Actor-Critic 算法

run

python ./numpy_RL_reinforcement_learning/chapter10_Actor-Critic算法.py
python ./chapter10.py

Chapter 11 TRPO算法

blogs

https://zhuanlan.zhihu.com/p/657548225 动手学强化学习reinforcement learning-chapter-eleven-TRPO algorithm，阅读的笔记

Chapter 12 PPO算法

blogs

https://zhuanlan.zhihu.com/p/658299943 动手学强化学习reinforcement learning-chapter-twelve-PPO algorithm，阅读的笔记

Numpy implementation of Chapter 12 PPO算法

run

python ./numpy_RL_reinforcement_learning/chapter12.py
python ./chapter12.py

Chapter 13 DDPG算法

blogs

https://zhuanlan.zhihu.com/p/658460643 动手学强化学习reinforcement learning-chapter-thirteen-DDPG 算法，阅读的笔记

Numpy implementation of Chapter 13 DDPG算法

run

python ./numpy_RL_reinforcement_learning/chapter13.py
python ./chapter13.py

Chapter 1four SAC算法

&&&&&&&

blogs

https://zhuanlan.zhihu.com/p/658560149 动手学强化学习reinforcement learning-chapter-fourteen-SAC algorithm，阅读的笔记

Chapter 15 imitation learning模仿

blogs

https://zhuanlan.zhihu.com/p/658591567 动手学强化学习reinforcement learning-chapter-fifteen-imitation learning模仿

Numpy implementation of Chapter 15 imitation learning模仿

run

python ./numpy_RL_reinforcement_learning/chapter15.py
python ./chapter15.py

Chapter sixteen-模型预测控制

blogs

https://zhuanlan.zhihu.com/p/658777952? 动手学强化学习reinforcement learning-chapter-sixteen-模型预测控制

Chapter seventeen-基于模型的策略优化

blogs

https://zhuanlan.zhihu.com/p/658972982? 动手学强化学习reinforcement learning-chapter-seventeen-基于模型的策略优化

Chapter eighteen-离线强化学习

blogs

https://zhuanlan.zhihu.com/p/659029814 动手学强化学习reinforcement learning-chapter-eighteen-离线强化学习

Chapter nineteen-目标导向的强化学习

blogs

https://zhuanlan.zhihu.com/p/659106430 动手学强化学习reinforcement learning-chapter-nineteen-目标导向的强化学习

Numpy implementation of Chapter nineteen-目标导向的强化学习

run

python ./numpy_RL_reinforcement_learning/chapter19.py
python ./chapter19.py

Chapter twenty-多智能体强化学习入门

blogs

https://zhuanlan.zhihu.com/p/659106430 动手学强化学习reinforcement learning-chapter-nineteen-目标导向的强化学习

Numpy implementation of Chapter twenty-多智能体强化学习入门

run

python ./numpy_RL_reinforcement_learning/chapter20.py
python ./chapter20.py

Chapter twenty-one 多智能体强化学习进阶

blogs

https://zhuanlan.zhihu.com/p/659244178 动手学强化学习reinforcement learning-chapter-twenty-one-多智能体强化学习进阶

-------------------------------------original readme---------------------------------

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Tips: 若运行gym环境的代码时遇到报错，请尝试pip install gym==0.18.3安装此版本的gym库，若仍有问题，欢迎提交issue！

欢迎来到《动手学强化学习》（Hands-on Reinforcement Learning）的地带。该系列从强化学习的定义等基础讲起，一步步由浅入深，介绍目前一些主流的强化学习算法。每一章内容都是一个Jupyter Notebook，内含详细的图文介绍和代码讲解。

• 由于GitHub上渲染notebook效果有限，我们推荐读者前往Hands-on RL主页进行浏览，我们在此提供了纯代码版本的notebook，供大家下载运行。

• 欢迎在京东和当当网购买《动手学强化学习》。

• 如果你发现了本书的任何问题，或者有任何改善建议的，欢迎提交issue！

• 本书配套的强化学习课程已上线到伯禹学习平台，所有人都可以免费学习和讨论。