Add MuJoCo tutorial Colab using the native Python bindings.

PiperOrigin-RevId: 491424124
Change-Id: I5bdeb68fd1bd1b4bc92fb40e0b876d9dcfc568cb
This commit is contained in:
Kyle Bayes
2022-11-28 13:09:01 -08:00
committed by Copybara-Service
parent ecac5758e2
commit 5a8e861152
4 changed files with 2210 additions and 7 deletions
+5 -4
View File
@@ -75,12 +75,13 @@ the [Getting Started] section of the documentation to get `simulate` running on
your machine.
2. **Explore our online IPython notebooks.**
If you are a Python user, you might want to start with our tutorial notebooks,
If you are a Python user, you might want to start with our tutorial notebooks
running on Google Colab:
- The first tutorial focuses on the basic MuJoCo Python bindings: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/deepmind/dm_control/blob/main/dm_control/mujoco/tutorial.ipynb)
- The second tutorial includes more examples of `dm_control`-specific functionality: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/deepmind/dm_control/blob/main/tutorial.ipynb)
- The first tutorial focuses on the basics of MuJoCo: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/deepmind/mujoco/blob/main/python/tutorial.ipynb)
- For a more advanced example, see the LQR tutorial which creates an LQR
controlled to balance a humanoid on one leg using MuJoCo's dynamics
derivatives: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/deepmind/mujoco/blob/main/python/LQR.ipynb)
## Asking Questions