Add MuJoCo tutorial Colab using the native Python bindings.
PiperOrigin-RevId: 491424124 Change-Id: I5bdeb68fd1bd1b4bc92fb40e0b876d9dcfc568cb
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@@ -75,12 +75,13 @@ the [Getting Started] section of the documentation to get `simulate` running on
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your machine.
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2. **Explore our online IPython notebooks.**
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If you are a Python user, you might want to start with our tutorial notebooks,
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If you are a Python user, you might want to start with our tutorial notebooks
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running on Google Colab:
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- The first tutorial focuses on the basic MuJoCo Python bindings: [](https://colab.research.google.com/github/deepmind/dm_control/blob/main/dm_control/mujoco/tutorial.ipynb)
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- The second tutorial includes more examples of `dm_control`-specific functionality: [](https://colab.research.google.com/github/deepmind/dm_control/blob/main/tutorial.ipynb)
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- The first tutorial focuses on the basics of MuJoCo: [](https://colab.research.google.com/github/deepmind/mujoco/blob/main/python/tutorial.ipynb)
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- For a more advanced example, see the LQR tutorial which creates an LQR
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controlled to balance a humanoid on one leg using MuJoCo's dynamics
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derivatives: [](https://colab.research.google.com/github/deepmind/mujoco/blob/main/python/LQR.ipynb)
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## Asking Questions
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