Gymnasium
A standard Python API for single-agent reinforcement learning environments with a collection of reference environments and utilities.
What is Gymnasium?
Gymnasium is an open-source Python library that provides a standard API for single-agent reinforcement learning environments. It enables developers and researchers to develop, compare, and benchmark reinforcement learning algorithms by offering a consistent interface and a collection of reference environments. The project is the maintained fork of OpenAI's Gym, ensuring ongoing support and evolution.
Reinforcement learning researchers, AI practitioners, and developers who need a reliable, standardized environment interface for training and evaluating agents.
Developers choose Gymnasium for its robust, community-maintained API, diverse environment families, and strict versioning that guarantees reproducibility, making it the de facto standard for reinforcement learning experimentation.
Overview
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Use Cases
Best For
- Developing and comparing reinforcement learning algorithms
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