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deep-rl-class/unit9
simoninithomas 4f0bcb5c18 Various updates
2023-02-25 10:49:08 +01:00
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2022-09-05 17:35:25 +02:00
2023-02-25 10:49:08 +01:00

DEPRECIATED THE NEW VERSION OF THIS UNIT IS HERE: https://huggingface.co/deep-rl-course/unitbonus3/decision-transformers

Everything under is depreciated 👇, the new version of the course is here: https://huggingface.co/deep-rl-course/unitbonus3/decision-transformers

Unit 9: Decision Transformers and offline Reinforcement Learning 🤖

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In this Unit, you'll learn what is Decision Transformer and Offline Reinforcement Learning. And then, youll train your first Offline Decision Transformer model from scratch to make a half-cheetah run.

This course is self-paced, you can start whenever you want.

Required time ⏱️

The required time for this unit is, approximately:

  • 1 hour for the theory
  • 1 hour for the hands-on.

Start this Unit 🚀

Here are the steps for this Unit:

1 📖 Read Introducing Decision Transformers on Hugging Face 🤗

2 👩‍💻 Then dive on the first hands-on. 👩‍💻 The hands-on 👉 Open In Colab

3 📖 Read Train your first Decision Transformer

4 👩‍💻 Then dive on the hands-on, where youll train your first Offline Decision Transformer model from scratch to make a half-cheetah run. 👩‍💻 The hands-on 👉 https://github.com/huggingface/blog/blob/main/notebooks/101_train-decision-transformers.ipynb

How to make the most of this course

To make the most of the course, my advice is to:

  • Participate in Discord and join a study group.
  • Read multiple times the theory part and takes some notes.
  • Dont just do the colab. When you learn something, try to change the environment, change the parameters and read the libraries' documentation. Have fun 🥳.
  • Struggling is a good thing in learning. It means that you start to build new skills. Deep RL is a complex topic and it takes time to understand. Try different approaches, use our additional readings, and exchange with classmates on discord.

This is a course built with you 👷🏿‍♀️

We want to improve and update the course iteratively with your feedback. If you have some, please fill this form 👉 https://forms.gle/3HgA7bEHwAmmLfwh9

Dont forget to join the Community 📢

We have a discord server where you can exchange with the community and with us, create study groups to grow each other and more 

👉🏻 https://discord.gg/aYka4Yhff9.

Dont forget to introduce yourself when you sign up 🤗

If you have other questions, please check our FAQ

Keep learning, stay awesome 🤗,