mirror of
https://github.com/huggingface/deep-rl-class.git
synced 2026-04-23 18:30:52 +08:00
79 lines
4.8 KiB
Markdown
79 lines
4.8 KiB
Markdown
# Unit 1: Introduction to Deep Reinforcement Learning
|
||
|
||
In this Unit, you'll learn the foundations of Deep RL. And **you’ll train your first lander agent 🚀 to land correctly on the Moon 🌕** using Stable-Baselines3 and share it with the community.
|
||
|
||
<img src="assets/img/LunarLander.gif" alt="LunarLander"/>
|
||
|
||
You'll then be able to **compare your agent’s results with other classmates thanks to a leaderboard** 🔥.
|
||
|
||
This course is **self-paced**, you can start whenever you want.
|
||
|
||
## Required time ⏱️
|
||
The required time for this unit is, approximately:
|
||
- 2 hours for the theory
|
||
- 1 hour for the hands-on.
|
||
|
||
## Start this Unit 🚀
|
||
Here are the steps for this Unit:
|
||
|
||
1️⃣ Sign up to our Discord Server. This is the place where you **can exchange with the community and with us, create study groups to grow each other and more**
|
||
|
||
👉🏻 [https://discord.gg/aYka4Yhff9](https://discord.gg/aYka4Yhff9).
|
||
|
||
Are you new to Discord? Check our **discord 101 to get the best practices** 👉 https://github.com/huggingface/deep-rl-class/blob/main/DISCORD.Md
|
||
|
||
2️⃣ **Introduce yourself on Discord in #introduce-yourself Discord channel 🤗 and check on the left the Reinforcement Learning section.**
|
||
|
||
- In #rl-announcements we give the last information about the course.
|
||
- #discussions is a place to exchange.
|
||
- #unity-ml-agents is to exchange about everything related to this library.
|
||
- #study-groups, to create study groups with your classmates.
|
||
|
||
<img src="assets/img/discord_channels.jpg" alt="Discord Channels"/>
|
||
|
||
3️⃣ 📖 **Read An [Introduction to Deep Reinforcement Learning](https://huggingface.co/blog/deep-rl-intro)**, where you’ll learn the foundations of Deep RL. You can also watch the video version attached to the article. 👉 https://huggingface.co/blog/deep-rl-intro
|
||
|
||
4️⃣ 📝 Take a piece of paper and **check your knowledge with this series of questions** ❔ 👉 https://github.com/huggingface/deep-rl-class/blob/main/unit1/quiz.md
|
||
|
||
5️⃣ 👩💻 Then dive on the hands-on, where **you’ll train your first lander agent 🚀 to land correctly on the Moon 🌕 using Stable-Baselines3 and share it with the community.** Thanks to a leaderboard, **you'll be able to compare your results with other classmates** and exchange the best practices to improve your agent's scores Who will win the challenge for Unit 1 🏆?
|
||
|
||
The hands-on 👉 [](https://colab.research.google.com/github/huggingface/deep-rl-class/blob/main/unit1/unit1.ipynb)
|
||
|
||
The leaderboard 👉 https://huggingface.co/spaces/chrisjay/Deep-Reinforcement-Learning-Leaderboard
|
||
|
||
You can work directly **with the colab notebook, which allows you not to have to install everything on your machine (and it’s free)**.
|
||
|
||
6️⃣ The best way to learn **is to try things on your own**. That’s why we have a challenges section in the colab where we give you some ideas on how you can go further: using another environment, using another model etc.
|
||
|
||
## Additional readings 📚
|
||
- [Reinforcement Learning: An Introduction, Richard Sutton and Andrew G. Barto Chapter 1, 2 and 3](http://incompleteideas.net/book/RLbook2020.pdf)
|
||
- [Foundations of Deep RL Series, L1 MDPs, Exact Solution Methods, Max-ent RL by Pieter Abbeel](https://youtu.be/2GwBez0D20A)
|
||
- [Spinning Up RL by OpenAI Part 1: Key concepts of RL](https://spinningup.openai.com/en/latest/spinningup/rl_intro.html)
|
||
|
||
- [Getting Started With OpenAI Gym: The Basic Building Blocks](https://blog.paperspace.com/getting-started-with-openai-gym/)
|
||
|
||
## 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](https://discord.gg/aYka4Yhff9).
|
||
|
||
Don’t forget to **introduce yourself when you sign up 🤗**
|
||
|
||
❓If you have other questions, [please check our FAQ](https://github.com/huggingface/deep-rl-class#faq)
|
||
|
||
Keep learning, stay awesome,
|