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+title: 'Welcome CleanRL to the Hugging Face Hub 🤗'
+thumbnail: /blog/assets/114_cleanrl/thumbnail.png
+---
+
+
+ Welcome CleanRL to the Hugging Face Hub 🤗
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+At Hugging Face, we are contributing to the ecosystem for Deep Reinforcement Learning researchers and enthusiasts. That’s why we’re happy to announce that we integrated [CleanRL](https://github.com/vwxyzjn/cleanrl) to the Hugging Face Hub.
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+[CleanRL](https://github.com/vwxyzjn/cleanrl) is a Deep Reinforcement Learning library that provides high-quality single-file implementation with research-friendly features.
+With this integration, you can now host your saved models đź’ľ and load powerful models from the community.
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+ADD VIDEO CleanRL
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+In this article, we’re going to show how you can do it. But if you want to follow with a tutorial, we wrote one where you'll learn:
+- How to train a Deep Reinforcement Learning lander agent to land correctly on the Moon 🌕
+- How to upload it to the Hub 🚀
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+- How to download and use a saved model from the Hub that CHOOSE ENVIRONMENT
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+👉 [The tutorial]() ADD LINK
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+Sounds exciting? Let's get started!
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+- [Install the library]()
+- [Exploring CleanRL in the Hub]()
+- [Uploading models to the Hub]()
+- [Loading models from the Hub]()
+
+TODO finish the table des matières when titles are chosen
+
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+## What's next?
+In the coming weeks and months, we plan on supporting other tools from the ecosystem:
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+- Integrating [Sample Factory](https://github.com/alex-petrenko/sample-factory) to the Hub.
+- Launching the Beta of [Simulate](https://github.com/huggingface/simulate), a library for easily creating and sharing simulation environments for intelligent agents
+- Expanding our repository of Decision Transformer models with models trained or finetuned in an online setting [1]
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+The best way to keep in touch is to **[join our discord server](https://discord.gg/YRAq8fMnUG)** to exchange with us and with the community.
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+Finally, we would like to thank the ADD COSTA THANKS
+
+### Would you like to integrate your library to the Hub?
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+This integration is possible thanks to the [`huggingface_hub`](https://github.com/huggingface/huggingface_hub) library which has all our widgets and the API for all our supported libraries. If you would like to integrate your library to the Hub, we have a [guide](https://huggingface.co/docs/hub/models-adding-libraries) for you!
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+## References
+[1] Zheng, Qinqing and Zhang, Amy and Grover, Aditya “Online Decision Transformer” (arXiv preprint, 2022)