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Thomas Simonini
2022-07-15 13:18:32 +02:00
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# 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:
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
@@ -8,9 +9,9 @@ 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
🏆 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
![cover](https://github.com/huggingface/deep-rl-class/blob/main/unit7/assets/img/pybullet-envs.gif?raw=true)
We'll learn to use PyBullet environments and why we normalize input features.
@@ -23,7 +24,7 @@ The required time for this unit is, approximately:
## 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 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/unit7/unit7.ipynb)
The leaderboard 👉 https://huggingface.co/spaces/chrisjay/Deep-Reinforcement-Learning-Leaderboard