Introduction to Deep Reinforcement Learning | The Hugging Face Deep Reinforcement Learning Course 🤗

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In this video, you'll train your first Deep Reinforcement Learning agent a Lunar Lander agent that will learn to land correctly on the Moon 🌕. Using Stable-Baselines3 a Deep Reinforcement Learning library, share it with the Hugging Face's Hub community and experiment with different configurations.

This video is from the Hugging Face Deep Reinforcement Learning Course, a free course from beginner to expert.

In this free course, you will:
📖 Study Deep Reinforcement Learning in theory and practice.
🧑‍💻 Learn to use famous Deep RL libraries such as Stable Baselines3, RL Baselines3 Zoo, CleanRL and Sample Factory 2.0.
🤖 Train agents in unique environments
And more!

Timeline:
0:00 - 2:10: Introduction
2:10 - 2:33: Set the GPU
2:33 - 3:38: Install the dependencies and set up the virtual screen
3:38 - 4:42: Import the packages
4:42 - 8:34: Understand what is Gym and how it works
8:34 - 13:08: Create the LunarLander-v2 environment
13:08 - 16:12: Create the PPO model
16:12 - 17:38:Train the PPO model
17:38 - 20:25: Evaluate the model
20:25 - 26:32: Publish the trained model to the Hub
26:32 - 28:50: Load a model from the Hub
28:50 - 29:14: More challenges
29:14 - 29:46: Conclusion and next steps

Keep Learning, Stay Awesome 🤗
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thank you very much, i will include you in my thesis! very grateful for you!

chaimaelaissaoui
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what a wonderful content, thank you Thomas!!

felipeolivos
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How did you know what parameters to set at around 16 minutes in?

cosato
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Hello Thomas, I tried to push with the function in collab and it wouldn't work, so I trained in local, but I assume that for it to show the preview and all I have to do more things...

luisalejandroacunalopez
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Question. Is our data vulnerable? Or our google drive?

BumlifeBomblife
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I can't proceed from this point on:

notebook_login()
!git config --global credential.helper store

I've already registered and created a token but it throws an error.

melisaaltnyelek