Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.
Implement multi-agent reinforcement learning algorithms in PyTorch for various environments and scenarios.
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 anytimeConcise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.
MARL-code-pytorch has 739 stars on GitHub. It has been forked 81 times. MARL-code-pytorch is written mainly in Python. It has been in active development since 2022. MARL-code-pytorch is available under the MIT license. Its main topics are maddpg, mappo, matd3, mpe.
Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.
MARL-code-pytorch is an open-source project. It is released under the MIT license.
Yes. MARL-code-pytorch is free and open source — you can use, modify and self-host it.
MARL-code-pytorch is available under the MIT license.
MARL-code-pytorch is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/lizhi-sjtu-marl-code-pytorch.html)