A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
This is a collection of Multi-Agent Reinforcement Learning (MARL) Resources. The purpose of this repository is to give beginners a better understanding of MARL and accelerate the learning process. Note that some of the resources are written in Chinese and only important papers that have a lot of citations were listed.
I will continually update this repository and I welcome suggestions. (missing important papers, missing important resources, invalid links, etc.) This is only a first draft so far and I'll add more resources in the next few months.
This repository is not for commercial purposes.
My email: [email protected]
Organization | Reaearcher | Lab homepage (if any) |
---|---|---|
Oxford | Shimon Whiteson, Jakob N. Foerster | link |
University College London (UCL) | Jun Wang | |
Tsinghua University (THU) | Chongjie Zhang | link |
Tsinghua University (THU) | Yi Wu | |
Peking University (PKU) | Zongqing Lu | |
HUAWEI | Hangyu Mao | |
Nanjing University (NJU) | Yang Yu | |
Yuandong Tian | ||
Tianjin University (TJU) | Jianye Hao | link |
University of Illinois at Urbana-Champaign (UIUC) | Kaiqing Zhang | |
Peking University (PKU) | Yaodong Yang | Link |
Nanyang Technological University (NTU) | Bo An | |
Shanghai Jiao Tong University (SJTU) | Weinan Zhang | link |
University of Chinese Academy of Sciences (UCAS) | Haifeng Zhang | link |
University of Edinburgh | Stefano V. Albrecht | link GitHub |
University College London (UCL) | UCL Deciding, Acting, and Reasoning with Knowledge (DARK) Lab | Link |
University of Maryland | Furong Huang | Link |
If you find this repository useful, please cite our repo:
@misc{chen2021collection,
author={Chen, Hao},
title={A Collection of Multi-Agent Reinforcement Learning Resources},
year={2021}
publisher = {GitHub},
journal = {GitHub Repository},
howpublished = {\url{https://github.com/TimeBreaker/MARL-resources-collection}}
}