Multi-Agent Reinforcement Learning environments with very large numbers of agents
Project description
MAgent
MAgent is a library for creating 2D environments with very large numbers of agents for conducting research in Multi-Agent Reinforcement Learning. These can look like this:
This is a maintained fork from the original repo- https://github.com/geek-ai/MAgent.
Requirements
MAgent supports Linux and macOS and Python 3.5+
Install instructions
Note that the library is built during pip installation (it doesn't take to long).
Linux:
sudo apt-get install cmake libboost-system-dev libjsoncpp-dev libwebsocketpp-dev
pip3 install magent
macOS:
brew install cmake llvm boost@1.55
brew install jsoncpp argp-standalone
brew tap davidzhen0/homebrew-websocketpp
brew install --HEAD davidzhen0/websocketpp/websocketpp
brew link --force boost@1.55
pip3 install magent
If you use this in your research, please cite the original paper:
@inproceedings{zheng2018magent,
title={MAgent: A many-agent reinforcement learning platform for artificial collective intelligence},
author={Zheng, Lianmin and Yang, Jiacheng and Cai, Han and Zhou, Ming and Zhang, Weinan and Wang, Jun and Yu, Yong},
booktitle={Thirty-Second AAAI Conference on Artificial Intelligence},
year={2018}
}
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