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26 lines
1.3 KiB
Markdown
26 lines
1.3 KiB
Markdown
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# Third-Party Tutorials
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*This page contains tutorials which are not maintained by Farama Foundation and, as such, cannot be guaranteed to function as intended.*
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*If you'd like to contribute an tutorial, please reach out on [Discord](https://discord.gg/bnJ6kubTg6).*
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## Third-Party tutorials about gymnasium
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### [Johnny Code from Youtube](https://www.youtube.com/playlist?list=PL58zEckBH8fCt_lYkmayZoR9XfDCW9hte)
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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.
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### [freeCodeCamp from Youtube](https://www.youtube.com/watch?v=vufTSJbzKGU)
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This video tells the basics of reinforcement learning and how to implement it using Gymnasium.
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## Third-Party tutorials about libraries that use gymnasium
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### [AgileRL](https://docs.agilerl.com/en/latest/tutorials/gymnasium/index.html)
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AgileRL focuses on reducing the time taken for training models and hyperparameter optimisation (HPO) providing tutorials for using it with PPO, TD3 and Rainbow.
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