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43 lines
1.8 KiB
Markdown
43 lines
1.8 KiB
Markdown
# [The Hugging Face Deep Reinforcement Learning Course 🤗 (v2.0)](https://huggingface.co/deep-rl-course/unit0/introduction)
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<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit0/thumbnail.jpg" alt="Thumbnail"/>
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If you like the course, don't hesitate to **⭐ star this repository. This helps us 🤗**.
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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
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- The syllabus 📚: https://simoninithomas.github.io/deep-rl-course
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- The course 📚: https://huggingface.co/deep-rl-course/unit0/introduction?fw=pt
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- **Sign up here** ➡️➡️➡️ http://eepurl.com/ic5ZUD
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## Course Maintenance Notice 🚧
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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**.
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Keep in mind the following points:
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- *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.
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- *Leaderboard* : The leaderboard is no longer operational.
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Aside from these points, all theory content and practical exercises remain fully accessible and effective for learning.
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If you have any problem with one of the hands-on **please check the issue sections where the community give some solutions to bugs**.
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## Citing the project
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To cite this repository in publications:
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```bibtex
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@misc{deep-rl-course,
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author = {Simonini, Thomas and Sanseviero, Omar},
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title = {The Hugging Face Deep Reinforcement Learning Class},
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year = {2023},
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publisher = {GitHub},
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journal = {GitHub repository},
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howpublished = {\url{https://github.com/huggingface/deep-rl-class}},
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}
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```
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