OpenAI gym

Gym is a toolkit from OpenAI that offers a wide array of simulated environments (e.g. Atari games, board games, 2D and 3D physical simulations) for you to train agents, benchmark them, and create new Reinforcement Learning algorithms.

General
Relese date	April 27, 2016
Author	OpenAI
Repository	https://github.com/openai/gym
Type	Reinforcement Learning

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Libraries

A curated list of libraries and technologies to help you play with OpenAI Gym.

• Gym Library Gym is a standard API for reinforcement learning, and a diverse collection of reference environments
• OpenAI Gym repository Gym is an open source Python library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API. Since its release, Gym's API has become the field standard for doing this.
• Gymnasium Gymnasium is an open source Python library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API. This is a fork of OpenAI's Gym library