2.9 KiB
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 🤖
In this Unit, you'll learn what is Decision Transformer and Offline Reinforcement Learning. And then, you’ll 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:
1️⃣ 📖 Read Introducing Decision Transformers on Hugging Face 🤗
2️⃣ 👩💻 Then dive on the first hands-on.
👩💻 The hands-on 👉 
3️⃣ 📖 Read Train your first Decision Transformer
4️⃣ 👩💻 Then dive on the hands-on, where you’ll 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.
- Don’t 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
Don’t 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.
Don’t forget to introduce yourself when you sign up 🤗
❓If you have other questions, please check our FAQ