From f9ebb82c3f8473386290dd4acb9db70ff0ed736f Mon Sep 17 00:00:00 2001 From: Thomas Simonini Date: Fri, 15 Jul 2022 12:47:47 +0200 Subject: [PATCH] Create README.md --- unit7/README.md | 53 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 53 insertions(+) create mode 100644 unit7/README.md diff --git a/unit7/README.md b/unit7/README.md new file mode 100644 index 0000000..5c9d95c --- /dev/null +++ b/unit7/README.md @@ -0,0 +1,53 @@ +# Unit 7: Robotics Simulations with PyBullet 🤖 +One of the major industries that use Reinforcement Learning is robotics. Unfortunately, having access to robot equipment is very expensive. Fortunately, some simulations exist to train Robots: +1. PyBullet +2. MuJoco +3. Unity Simulations + +We're going to use PyBullet today. And train two agents to walk: +- A bipedal walker 🦿 +- A spider 🕸️ + +You'll then be able to **compare your agent’s results with other classmates thanks to a leaderboard** 🔥 👉 https://huggingface.co/spaces/chrisjay/Deep-Reinforcement-Learning-Leaderboard + +IMAGE + +We'll learn to use PyBullet environments and why we normalize input features. + +Let's get started 🥳 + +## Required time ⏱️ +The required time for this unit is, approximately: +- 1 hour for the hands-on. + +## Start this Unit 🚀 +Here are the steps for this Unit: + +The hands-on 👉 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/deep-rl-class/blob/main/unit3/unit3.ipynb) + +The leaderboard 👉 https://huggingface.co/spaces/chrisjay/Deep-Reinforcement-Learning-Leaderboard + +## 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 🤗