Third-Party Tutorials

This page contains tutorials which are not maintained by Farama Foundation and, as such, cannot be guaranteed to function as intended.

If you’d like to contribute an tutorial, please reach out on Discord.

Third-Party tutorials about gymnasium

Johnny Code from Youtube

Watch this set of videos to train Gymnasium Reinforcement Learning environments using Q-Learning, Deep Q-Learning, and other algorithms. Environments include FrozenLake-v1, MountainCar-v0, CartPole-v1, and MoJoco Humanoid-v4. The youtuber uses Python with VSCode as the development environment. Libraries include Farama Gymnasium, PyTorch, Stable Baselines3. All codes are made available on github.com/johnnycode8 repository.

freeCodeCamp from Youtube

This video tells the basics of reinforcement learning and how to implement it using Gymnasium.

Third-Party tutorials about libraries that use gymnasium

AgileRL

AgileRL focuses on reducing the time taken for training models and hyperparameter optimisation (HPO) providing tutorials for using it with PPO, TD3 and Rainbow.