Gymnasium for multi-agent reinforcement learning
Project description
PettingZoo is a Python library for conducting research in multi-agent reinforcement learning, akin to a multi-agent version of Gymnasium.
The documentation website is at pettingzoo.farama.org and we have a public discord server (which we also use to coordinate development work) that you can join here: https://discord.gg/jfERDCSw
Environments
PettingZoo includes the following families of environments:
- Atari: Multi-player Atari 2600 games (cooperative, competitive and mixed sum)
- Butterfly: Cooperative graphical games developed by us, requiring a high degree of coordination
- Classic: Classical games including card games, board games, etc.
- MPE: A set of simple nongraphical communication tasks, originally from https://github.com/openai/multiagent-particle-envs
- SISL: 3 cooperative environments, originally from https://github.com/sisl/MADRL
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