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

Project Samples

PettingZoo Screenshot 1

Project Activity

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Categories

Reinforcement Learning Libraries

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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