PettingZoo

PettingZoo is a standardized API and library for multi-agent reinforcement learning (MARL) environments. It provides a broad set of environments and tools to facilitate the development and evaluation of multi-agent algorithms.

Features

Provides a unified interface for multi-agent environments
Includes a diverse collection of MARL benchmarks like classic games and robotics
Compatible with Gym-style RL libraries
Supports both simultaneous and sequential action spaces
Easy-to-use API for creating custom multi-agent environments
Built-in visualization and rendering options

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License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Reinforcement Learning Libraries

Registered

2025-03-13

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PettingZoo

An API standard for multi-agent reinforcement learning environments

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Features

Project Samples

Project Activity

Categories

License

Follow PettingZoo

User Reviews

Additional Project Details

Operating Systems

Programming Language

Related Categories

Registered