Update barkour notebook.
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# Google Barkour v0 Joystick Policy
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## Overview
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This folder contains a training script for a flat-terrain joystick policy for the [Barkour v0 Quadruped](https://ai.googleblog.com/2023/05/barkour-benchmarking-animal-level.html) which demonstrates sim2real transfer.
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`barkour_joystick.py` contains the environment definition, while the [colab](https://colab.research.google.com/github/google/brax/blob/main/experimental/barkour_v0/barkour_v0_joystick.ipynb) shows how to train the policy.
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<p float="left">
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<img src="assets/joystick.gif" width="400">
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</p>
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# Google Barkour v0
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## MJCF Instructions
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