#6969th of 100 in Learning and cookbooks
deep-rl-class
Hugging Face's free course on deep reinforcement learning, with notebooks
Documentation ↗
(opens in a new tab)Website ↗
(opens in a new tab)Repository on GitHub ↗
(opens in a new tab)
- Stars
- 5.1k
- License
- Apache-2.0
- Last commit
- Oct 2026
- Language
- MDX
4,818 on 22 Apr 20265,094 on 11 Nov 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
Source files (MDX) and Colab-style notebooks for the Hugging Face Deep Reinforcement Learning Course, v2.0. The course combines theory with hands-on exercises, including training an agent to play soccer in Unit 7. The maintainers describe it as low-maintenance: the Unit 7 AI vs AI feature and the leaderboard no longer work.
Who it is for: Developers learning deep reinforcement learning through hands-on notebooks
Strengths
- Covers both RL theory and practical hands-on exercises with notebooks
- Maintainers point to community-provided bug fixes in the issues section
- Apache-2.0 licensed course content with a public syllabus
Weaknesses
- Marked low-maintenance by the authors; notebooks may break on newer library versions
- Unit 7 AI vs AI is non-functional
- Course leaderboard is no longer operational
- Repository holds course sources; the course is read on the Hugging Face site
Also in Learning and cookbooks
See all 100| Rank | Project | Score |
|---|---|---|
| 1 | ai-engineering-from-scratchHands-on AI engineering curriculum with 542 lessons across 20 phases | 91 out of 100 |
| 2 | generative-ai-for-beginners21-lesson course on building generative AI apps in Python and TypeScript | 83 out of 100 |
| 3 | rag_techniquesCollection of 42 runnable notebooks implementing RAG techniques | 82 out of 100 |
| #4 | cs249r_bookOpen textbook and course materials for machine learning systems engineering | 82 out of 100 |
| #5 | ai-for-beginners24-lesson AI curriculum with notebooks in PyTorch and TensorFlow | 81 out of 100 |