Multi-agent-RL
Projects from basic algorithms to MARL. Implements MADDPG,MATD3,MA/HAPPO in Predator-Prey pursuit games with PettingZoo MPE environments.
Explore various projects in multi-agent reinforcement learning, including classic algorithms and personal implementations.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeProjects from basic algorithms to MARL. Implements MADDPG,MATD3,MA/HAPPO in Predator-Prey pursuit games with PettingZoo MPE environments.
Multi-agent-RL has 427 stars on GitHub. It has been forked 40 times. Multi-agent-RL is written mainly in Jupyter Notebook. It has been in active development since 2024. Multi-agent-RL is available under the MIT license. Its main topics are maddpg-pytorch, marl, matd3, multiagent-particle-environment.
What is Multi-agent-RL?
Projects from basic algorithms to MARL. Implements MADDPG,MATD3,MA/HAPPO in Predator-Prey pursuit games with PettingZoo MPE environments.
Is Multi-agent-RL open source?
Multi-agent-RL is an open-source project. It is released under the MIT license.
Is Multi-agent-RL free?
Yes. Multi-agent-RL is free and open source — you can use, modify and self-host it.
What license does Multi-agent-RL use?
Multi-agent-RL is available under the MIT license.
What language is Multi-agent-RL written in?
Multi-agent-RL is written mainly in Jupyter Notebook.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/ronchy2000-multi-agent-rl.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.