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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
Categories
Reinforcement Learning LibrariesLicense
MIT LicenseFollow PettingZoo
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