OpenAI gym
OpenAI gym is a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents everything from walking to playing games like Pong or Pinball.
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.
OpenAI Gym
Discover OpenAI Gym
Gym Library
Gym is a standard API for reinforcement learning, and a diverse collection of reference environments
OpenAI Gym repositoryGym 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.
GymnasiumGymnasium 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
OpenAI gym Hackathon projects
Solutions built with OpenAI gym that have been created during our hackathons by the members of our community
.png&w=3840&q=75)
.png&w=3840&q=75)
.png&w=3840&q=75)
.png&w=3840&q=75)
.png&w=3840&q=75)
.png&w=3840&q=75)
.png&w=3840&q=75)
Join one of our AI hackathons to build modern artificial intelligence together with talented members of our lablab community
