Tutorial4RL

KO | EN

gitlite — search

#javascript #python #hacktoberfest #react #ai #typescript #llm #go #golang #android #machine-learning #rust #deep-learning #linux

(★ 199)

Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.

Tutorial4RL Latest Version Download

Download Latest Version (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Tutorial4RL
Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.

## Related Repository

| Repository                                                   | Remark                                                       |
| ------------------------------------------------------------ | ------------------------------------------------------------ |
| [Awesome-Reinforcement-Learning-Papers](https://github.com/Allenpandas/Awesome-Reinforcement-Learning-Papers) | <a href="https://github.com/Allenpandas/Awesome-Reinforcement-Learning-Papers"><img alt="GitHub repo size" src="https://img.shields.io/github/repo-size/Allenpandas/Awesome-Reinforcement-Learning-Papers"></a> <a href="https://github.com/Allenpandas/Awesome-Reinforcement-Learning-Papers"><img alt="GitHub Repo stars" src="https://img.shields.io/github/stars/Allenpandas/Awesome-Reinforcement-Learning-Papers"></a> <a href="https://github.com/Allenpandas/Awesome-Reinforcement-Learning-Papers"><img alt="GitHub last commit (by committer)" src="https://img.shields.io/github/last-commit/Allenpandas/Awesome-Reinforcement-Learning-Papers"></a> |
| [Tutorial4RL](https://github.com/Allenpandas/Tutorial4RL)    | <a href="https://github.com/Allenpandas/Tutorial4RL"><img alt="GitHub repo size" src="https://img.shields.io/github/repo-size/Allenpandas/Tutorial4RL"></a> <a href="https://github.com/Allenpandas/Tutorial4RL"><img alt="GitHub Repo stars" src="https://img.shields.io/github/stars/Allenpandas/Tutorial4RL"></a> <a href="https://github.com/Allenpandas/Tutorial4RL"><img alt="GitHub last commit (by committer)" src="https://img.shields.io/github/last-commit/Allenpandas/Tutorial4RL"></a> |

## Open Source Projects

- PFRL：基于Pytorch的深度强化学习库： [https://github.com/pfnet/pfrl](https://github.com/pfnet/pfrl)
- 莫烦强化学习TensorFlow代码： [https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow](https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow)
- 百度飞桨PaddlePaddle强化学习代码： [https://github.com/PaddlePaddle/PARL](https://github.com/PaddlePaddle/PARL)
- Github强大的强化学习库： [https://github.com/wwxFromTju/awesome-reinforcement-learning-lib](https://github.com/wwxFromTju/awesome-reinforcement-learning-lib)
- 优达学城（在线教育平台）强化学习库： [https://github.com/udacity/deep-reinforcement-learning](https://github.com/udacity/deep-reinforcement-learning)

## Books & Videos

- 《深度强化学习》王树森： [https://www.bilibili.com/video/BV12o4y197US](https://www.bilibili.com/video/BV12o4y197US)
- 《Deep Reinforcement Learning》李宏毅： [https://www.bilibili.com/video/BV1UE411G78S](https://www.bilibili.com/video/BV1UE411G78S)
- 《世界冠军带你从零实践强化学习》百度飞桨团队： [https://www.bilibili.com/video/BV1yv411i7xd](https://www.bilibili.com/video/BV1yv411i7xd)
- 《强化学习白板推导》：[https://space.bilibili.com/97068901/channel/seriesdetail?sid=594040](https://space.bilibili.com/97068901/channel/seriesdetail?sid=594040)
- 《蘑菇书EasyRL》王琦等： [https://github.com/datawhalechina/easy-rl](https://github.com/datawhalechina/easy-rl)
- 《动手学强化学习》张伟楠等： [http://hrl.boyuai.com/](http://hrl.boyuai.com/)

## Relevant Conferences

| Abbr.   | Full Name                                                    | CCF Rank |
| ------- | ------------------------------------------------------------ | :------: |
| ICML    | International Conference on Machine Learning                 |  CCF-A   |
| NeurIPS | Annual Conference on Neural Information Processing Systems   |  CCF-A   |
| ICLR    | International Conference on Learning Representations         |    —     |
| AAAI    | AAAI Conference on Artificial Intelligence                   |  CCF-A   |
| IJCAI   | International Joint Conference on Artificial Intelligence    |  CCF-A   |
| AAMAS   | International Joint Conference on Autonomous Agents and Multi-agent Systems |  CCF-B   |
| ICRA    | IEEE International Conference on Robotics and Automation     |  CCF-B   |

## Community

- RLChina强化学习社区： [http://rlchina.org/](http://rlchina.org/)
- 智源社区强化学习专栏： [https://hub.baai.ac.cn/?tag_id=74](https://hub.baai.ac.cn/?tag_id=74)
- 智源社区强化学习周刊： [https://hub.baai.ac.cn/users/18447](https://hub.baai.ac.cn/users/18447)

## Langya Rank

### Domestic Langya Rank

| Name   | Organization       | Link                                                      | Focus                                    |
| ------ | ------------------ | --------------------------------------------------------- | ---------------------------------------- |
| 郝建业 | 天津大学           | [[HomePage](http://www.icdai.org/jianye.html)]            | 多智能体强化学习、博弈论                 |
| 张海峰 | 中科院自动化所     | [[HomePage](https://people.ucas.edu.cn/~zhf)]             | 多智能体强化学习、智能体博弈、智能体评估 |
| 罗军   | 华为诺亚方舟实验室 | [[HomePage](https://openreview.net/profile?id=~Jun_Luo1)] | 自动驾驶、强化学习                       |
| 王祥丰 | 华东师范大学       | [[HomePage](https://mail-ecnu.cn/people/xfwang)]          | 多智体强化学习                           |
| 俞扬   | 南京大学           | [[HomePage](https://www.yuque.com/eyounx/home)]           | 强化学习、离线强化学习                   |
| 杨耀东 | 北京大学           | [[HomePage](https://www.yangyaodong.com/)]                | 多智能体强化学习、博弈论                 |
| 卢宗青 | 北京大学           | [[HomePage](https://z0ngqing.github.io/)]                 | 强化学习                                 |
| 张崇洁 | 清华大学           | [[HomePage](http://people.iiis.tsinghua.edu.cn/~zhang/)]  | 深度强化学习、多智能体                   |

### Abroad Langya Rank

| Name                 | Organization                                                 |                             Link                             |
| -------------------- | ------------------------------------------------------------ | :----------------------------------------------------------: |
| Sergey Levine        | UC Berkeley                                                  | [[Google Scholar](https://scholar.google.com/citations?user=8R35rCwAAAAJ&hl=zh-CN&oi=ao)] |
| Piter Abbeel         | UC Berkeley                                                  | [[Google Scholar](https://scholar.google.com/citations?user=vtwH6GkAAAAJ&hl=zh-CN)] |
| Matthew E. Taylor    | University of Alberta                                        | [[Google Scholar](https://scholar.google.com/citations?user=edQgLXcAAAAJ&hl=zh-CN&oi=ao)] |
| Peter Stone          | University of Texas at Austin                                | [[Google Scholar](https://scholar.google.com/citations?user=qnwjcfAAAAAJ&hl=zh-CN&oi=ao)] |
| Shimon Whiteson      | University of Oxford / Waymo                                 | [[Google Scholar](https://scholar.google.com/citations?user=9zeEI-cAAAAJ&hl=zh-CN&oi=ao)] |
| Jan Peters           | German AI Research Center                                    | [[Google Scholar](https://scholar.google.com/citations?user=-kIVAcAAAAAJ&hl=zh-CN&oi=ao)] |
| Shie Mannor          | Nvidia                                                       | [[Google Scholar](https://scholar.google.com/citations?user=q1HlbIUAAAAJ&hl=zh-CN&oi=ao)] |
| Chelsea Finn         | Stanford University / Google                                 | [[Google Scholar](https://scholar.google.com/citations?user=vfPE6hgAAAAJ&hl=zh-CN&oi=ao)] |
| Dusit Niyato         |                                                              |                       [Google Scholar]                       |
| Doina Precup         | DeepMind / McGill University                                 | [[Google Scholar](https://scholar.google.com/citations?user=j54VcVEAAAAJ&hl=zh-CN&oi=ao)] |
| Ann Nowé             |                                                              | [[Google Scholar](https://scholar.google.com/citations?user=LH5QKbgAAAAJ&hl=zh-CN&oi=ao)] |
| Marcello Restelli    | Politecnico di Milano                                        | [[Google Scholar](https://scholar.google.com/citations?user=xdgxRiEAAAAJ&hl=zh-CN&oi=ao)] |
| Frank L. Lewis       |                                                              |                       [Google Scholar]                       |
| H. Vincent Poor      |                                                              |                       [Google Scholar]                       |
| Vaneet Aggarwal      | Purdue University                                            | [[Google Scholar](https://scholar.google.com/citations?user=Tu4lmGwAAAAJ&hl=zh-CN&oi=ao)] |
| F. Richard Yu        | Carleton University                                          | [[Google Scholar](https://scholar.google.com/citations?user=zuGMGBoAAAAJ&hl=zh-CN&oi=ao)] |
| Jun Wang             | University College London                                    | [[Google Scholar](https://scholar.google.com/citations?hl=zh-CN&user=wIE1tY4AAAAJ)] |
| Michael L. Littman   |                                                              |                       [Google Scholar]                       |
| Satinder Singh       | University of Michigan                                       |                       [Google Scholar]                       |
| Mehdi Bennis         |                                                              |                       [Google Scholar]                       |
| David Silver         | University College London / DeepMind                         |                       [Google Scholar]                       |
| Rémi Munos           |                                                              |                       [Google Scholar]                       |
| Marc G. Bellemare    |                                                              |                       [Google Scholar]                       |
| Joelle Pineau        | McGill University / Meta AI                                  | [[Google Scholar](https://scholar.google.com/citations?user=CEt6_mMAAAAJ&hl=zh-CN&oi=ao)] |
| Martin A. Riedmiller | Google                                                       | [[Google Scholar](https://scholar.google.com/citations?hl=zh-CN&user=1gVfqpcAAAAJ&view_op=list_works&sortby=pubdate)] |
| Mohsen Guizani       | Mohamed Bin Zayed University of Artificial Intelligence      | [[Google Scholar]](https://scholar.google.com/citations?hl=zh-CN&user=RigrYkcAAAAJ&view_op=list_works&sortby=pubdate) |
| Stefan Wermter       | University of Hamburg                                        | [[Google Scholar](https://scholar.google.com/citations?user=uIeaxuAAAAAJ&hl=zh-CN&oi=ao)] |
| Ying-Chang Liang     |                                                              | [[Google Scholar](https://scholar.google.com/citations?user=HybIiJ8AAAAJ&hl=zh-CN&oi=ao)] |
| Jonathan P. How      |                                                              |                       [Google Scholar]                       |
| Ivana Dusparic       | Trinity College Dublin                                       | [[Google Scholar](https://scholar.google.com/citations?user=CrGGAccAAAAJ&hl=zh-CN&oi=ao)] |
| Robert Babuska       | Delft University of Technology / Czech Technical University Prague | [[Google Scholar](https://scholar.google.com/citations?user=0orN2FUAAAAJ&hl=zh-CN&oi=ao)] |
| Emma Brunskill       | Stanford University                                          | [[Google Scholar](https://scholar.google.com/citations?user=HaN8b2YAAAAJ&hl=zh-CN&oi=ao)] |
| Bo An                | Nanyang Technological University                             | [[Google Scholar](https://scholar.google.com/citations?user=PEEpuNwAAAAJ&hl=zh-CN&oi=ao)] |

Tutorial4RL

Tutorial4RL Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Tutorial4RL

Tutorial4RL Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Download README