Metadata-Version: 2.1
Name: PettingZoo
Version: 1.22.1
Summary: Gymnasium for multi-agent reinforcement learning
Home-page: https://pettingzoo.farama.org/
Author: Farama Foundation
Author-email: contact@farama.org
Keywords: Reinforcement Learning,game,RL,AI,gymnasium
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.7, <3.11
Description-Content-Type: text/markdown
Provides-Extra: atari
Provides-Extra: classic
Provides-Extra: butterfly
Provides-Extra: mpe
Provides-Extra: sisl
Provides-Extra: other
Provides-Extra: tests
Provides-Extra: all
License-File: LICENSE.txt

<p align="center">
    <img src="https://raw.githubusercontent.com/Farama-Foundation/PettingZoo/master/pettingzoo-text.png" width="500px"/>
</p>

PettingZoo is a Python library for conducting research in multi-agent reinforcement learning, akin to a multi-agent version of [Gymnasium](https://github.com/Farama-Foundation/Gymnasium).

The documentation website is at [pettingzoo.farama.org](https://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](https://discord.gg/nhvKkYa6qX)

## Environments

PettingZoo includes the following families of environments:

* [Atari](https://pettingzoo.farama.org/environments/atari/): Multi-player Atari 2600 games (cooperative, competitive and mixed sum)
* [Butterfly](https://pettingzoo.farama.org/environments/butterfly): Cooperative graphical games developed by us, requiring a high degree of coordination
* [Classic](https://pettingzoo.farama.org/environments/classic): Classical games including card games, board games, etc.
* [MPE](https://pettingzoo.farama.org/environments/mpe): A set of simple nongraphical communication tasks, originally from https://github.com/openai/multiagent-particle-envs
* [SISL](https://pettingzoo.farama.org/environments/sisl): 3 cooperative environments, originally from https://github.com/sisl/MADRL

