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Gymnasium

10,506
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Python

Project Description

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

Gymnasium: An API standard for single-agent reinforcement learning environments, with popular reference environ

Project Title

Gymnasium — A Standard API for Single-Agent Reinforcement Learning Environments

Overview

Gymnasium is an open-source Python library that provides a standard API for developing and comparing reinforcement learning algorithms. It offers a wide range of environments compliant with the API, making it easier to test and compare different algorithms. This project is a fork of OpenAI's Gym library, where future maintenance will occur.

Key Features

  • Standard API for communication between learning algorithms and environments
  • A variety of environments, including Classic Control, Box2D, Toy Text, MuJoCo, Atari, and third-party environments
  • Comprehensive documentation and a public Discord server for community support
  • Easy installation and dependency management

Use Cases

  • Researchers and developers using reinforcement learning to test and compare different algorithms
  • Educators using Gymnasium environments for teaching purposes
  • Companies developing AI solutions that require reinforcement learning capabilities

Advantages

  • Supports a wide range of environments, making it versatile for various use cases
  • Active community and regular updates ensure the library stays up-to-date with the latest advancements
  • Easy to install and use, with clear documentation and examples

Limitations / Considerations

  • Windows support is not officially provided, though PRs related to Windows are accepted
  • Some environments have dependencies that can be challenging to install on certain systems

Similar / Related Projects

  • OpenAI Gym: The original library from which Gymnasium was forked, now deprecated in favor of Gymnasium.
  • RLlib: A reinforcement learning library by Ray that provides more advanced features but may have a steeper learning curve.
  • Stable Baselines3: A set of high-quality, reusable, and modular implementations of reinforcement learning algorithms that can be used with Gymnasium environments.

Basic Information


📊 Project Information

🏷️ Project Topics

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Project Information

Created on 9/8/2022
Updated on 10/31/2025