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Document nonlinear least-squares tutorial.

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Yuval Tassa
2024-03-13 11:55:36 -07:00
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@@ -50,12 +50,13 @@ your machine.
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 basics of MuJoCo:
- The **introductory tutorial** teaches MuJoCo basics:
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/google-deepmind/mujoco/blob/main/python/tutorial.ipynb)
- For a more advanced example, see the LQR tutorial which creates an LQR
controller 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/google-deepmind/mujoco/blob/main/python/LQR.ipynb)
- The MJX tutorial provides usage examples of
- The **LQR** tutorial synthesizes a linear-quadratic controller, balancing a humanoid on one leg:
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/google-deepmind/mujoco/blob/main/python/LQR.ipynb)
- The **least-squares** tutorial explains how to use the Python-based nonlinear least-squares solver:
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/google-deepmind/mujoco/blob/main/python/least-squares.ipynb)
- The **MJX** tutorial provides usage examples of
[MuJoCo XLA](https://mujoco.readthedocs.io/en/stable/mjx.html), a branch of MuJoCo written in
JAX:
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/google-deepmind/mujoco/blob/main/mjx/tutorial.ipynb)