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Gymnasium Documentation
Explore Gymnasium's Python API and reference environments for building, testing, and benchmarking reinforcement learning algorithms in one place.
Build and test reinforcement learning environments
Gymnasium is an open-source platform designed for anyone interested in reinforcement learning. It provides a simple, Python-based API along with a diverse collection of reference environments, making it easy to create, test, and compare RL algorithms. Whether you're a researcher, student, or developer, you can use Gymnasium to experiment with a wide range of RL problems and environments.
The site offers clear documentation, compatibility tools for older Gym environments, and helpful links to utility functions and wrappers. It's maintained by the Farama Foundation and continues the legacy of OpenAI's Gym, focusing on accessibility and flexibility for the RL community. If you're looking to get started or advance your work in reinforcement learning, Gymnasium is a practical and well-supported resource.
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