@tom_doerr: Hugging Face deep reinforcement learning course with practical exercises https://github.com/huggingface/deep-rl-class…

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Summary

Hugging Face offers a deep reinforcement learning course with practical exercises, now in low-maintenance state but still a useful resource for learning theory and hands-on DRL.

Hugging Face deep reinforcement learning course with practical exercises https://t.co/9WMuq581BF https://t.co/UyBX7YfarB
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Cached at: 05/24/26, 12:29 PM

Hugging Face deep reinforcement learning course with practical exercises

https://t.co/9WMuq581BF https://t.co/UyBX7YfarB


huggingface/deep-rl-class

Source: https://github.com/huggingface/deep-rl-class

The Hugging Face Deep Reinforcement Learning Course 🤗 (v2.0)

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If you like the course, don’t hesitate to ⭐ star this repository. This helps us 🤗.

This repository contains the Deep Reinforcement Learning Course mdx files and notebooks. The website is here: https://huggingface.co/deep-rl-course/unit0/introduction?fw=pt

  • The syllabus 📚: https://simoninithomas.github.io/deep-rl-course

  • The course 📚: https://huggingface.co/deep-rl-course/unit0/introduction?fw=pt

  • Sign up here ➡️➡️➡️ http://eepurl.com/ic5ZUD

Course Maintenance Notice 🚧

Please note that this Deep Reinforcement Learning course is now in a low-maintenance state. However, it remains an excellent resource to learn both the theory and practical aspects of Deep Reinforcement Learning.

Keep in mind the following points:

  • Unit 7 (AI vs AI) : This feature is currently non-functional. However, you can still train your agent to play soccer and observe its performance.

  • Leaderboard : The leaderboard is no longer operational.

Aside from these points, all theory content and practical exercises remain fully accessible and effective for learning.

If you have any problem with one of the hands-on please check the issue sections where the community give some solutions to bugs.

Citing the project

To cite this repository in publications:

@misc{deep-rl-course,
  author = {Simonini, Thomas and Sanseviero, Omar},
  title = {The Hugging Face Deep Reinforcement Learning Class},
  year = {2023},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/huggingface/deep-rl-class}},
}

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