Gym 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 Gym.
Our website, with comprehensive documentation, is pettingzoo.ml
PettingZoo also has a discord server for development purposes that you can join here: https://discord.gg/nHg2JRN489
Environments and Installation
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.
- MAgent: Configurable environments with massive numbers of particle agents, originally from https://github.com/geek-ai/MAgent
- 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
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for PettingZoo-1.18.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 25ae45fcfa2c623800e1f81b98ae50f5f5a1af6caabc5946764248de71a0371d |
|
MD5 | 7353de43174fd38b28d687a952b5be10 |
|
BLAKE2b-256 | b071d92cdc01ca27b224b88ae87185a8fad634ecbab1530da3d657c250e5f642 |