MLPY/Lib/site-packages/PettingZoo-1.15.0.dist-info/METADATA

Metadata-Version: 2.1
Name: PettingZoo
Version: 1.15.0
Summary: Gym for multi-agent reinforcement learning
Home-page: https://github.com/Farama-Foundation/PettingZoo
Author: PettingZoo Community
Author-email: [email protected]
Keywords: Reinforcement Learning,game,RL,AI,gym
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
License-File: LICENSE.txt
Requires-Dist: numpy >=1.18.0
Requires-Dist: gym >=0.21.0
Provides-Extra: all
Requires-Dist: multi-agent-ale-py ==0.1.11 ; extra == 'all'
Requires-Dist: pygame ==2.1.0 ; extra == 'all'
Requires-Dist: chess ==1.7.0 ; extra == 'all'
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Requires-Dist: magent ==0.1.14 ; extra == 'all'
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Provides-Extra: atari
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Provides-Extra: butterfly
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Provides-Extra: tests
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<p align="center">
    <img src="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 [Gym](https://github.com/openai/gym).

Our website, with comprehensive documentation, is [pettingzoo.ml](https://www.pettingzoo.ml)

## Environments and Installation

PettingZoo includes the following families of environments:

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

To install the pettingzoo base library, use `pip install pettingzoo`

This does not include dependencies for all families of environments (there's a massive number, and some can be problematic to install on certain systems). You can install these dependencies for one family like `pip install pettingzoo[atari]` or use `pip install pettingzoo[all]` to install all dependencies.

We support Python 3.7, 3.8 and 3.9 on Linux and macOS. We will accept PRs related to Windows, but do not officially support it.