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reinforcement-learning-notes's Introduction

强化学习笔记参考(Deep Reinforcement Learning)

摘要说明

因为前辈们已经整理出了一套相当不错的教程,已经各个资源的整合,这里就不在进行逐一整理,一个是为了提高时间效率,另一个是用于记录自己学习中的有趣点和自己的见解。

参考文献

参考笔记 : https://datawhalechina.github.io/leedeeprl-notes 代码仓库: https://github.com/datawhalechina/leedeeprl-notes

基础学习

第一部分: 《强化系统纲要》

视频地址:https://www.bilibili.com/video/BV1LE411G7Xj 课程资料:https://github.com/zhoubolei/introRL 课件地址:https://github.com/zhoubolei/introRL/blob/master/lecture1.pdf

教材参考:http://www.incompleteideas.net/book/the-book.html

第二部分: 李宏毅《深度强化学习》

视频地址: https://www.bilibili.com/video/BV1UE411G78S 课件地址 : http://speech.ee.ntu.edu.tw/~tlkagk/courses_MLDS18.html

第三部分: 《百度强化学习》

视频地址: https://aistudio.baidu.com/aistudio/course/introduce/1335

补充

David Silver 视频地址:https://www.bilibili.com/video/av37295048/?spm_id_from=333.788.b_636f6d6d656e74.140

课件:https://www.davidsilver.uk/teaching/

笔记: https://zhuanlan.zhihu.com/p/28084751

补充说明

PyTorch

视频链接: https://www.bilibili.com/video/BV1Rv411y7oE

刘建平

https://github.com/ljpzzz/machinelearning 很多例子|文章

周杰

https://github.com/shuhuai007/Machine-Learning-Session 讲解透彻|视频

Reinforcement-Learning-Notes

强化学习,从MDP 入门开始

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