GitHub - fschur/DDQN-with-PyTorch-for-OpenAI-Gym: Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.
GitHub - PacktPublishing/Hands-On-Intelligent-Agents-with-OpenAI-Gym: Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
![GitHub - igilitschenski/multi_car_racing: An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment. GitHub - igilitschenski/multi_car_racing: An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.](https://user-images.githubusercontent.com/11874191/98051650-5339d900-1e02-11eb-8b75-7f241d8687ef.gif)
GitHub - igilitschenski/multi_car_racing: An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.
GitHub - olavt/gym_co2_ventilation: Shows how to create custom OpenAI Gym environments for using Reinforcement Learning to control a ventilation system.
![GitHub - Farama-Foundation/Gymnasium: An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym) GitHub - Farama-Foundation/Gymnasium: An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)](https://raw.githubusercontent.com/Farama-Foundation/Gymnasium/main/gymnasium-text.png)