A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Research and test multi-agent learning scenarios using a standard set of environments.
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 anytimeA standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
PettingZoo has 3.5k stars on GitHub. It has been forked 511 times. PettingZoo is written mainly in Python. It has been in active development since 2020. Its main topics are api, gymnasium, multi-agent-reinforcement-learning, multiagent-reinforcement-learning.
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
PettingZoo is an open-source project.
Yes. PettingZoo is free and open source — you can use, modify and self-host it.
PettingZoo is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/farama-foundation-pettingzoo.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.