Add new differentiable physics tutorial to readme.
PiperOrigin-RevId: 631458983 Change-Id: Ic0ef9e93397a974be50f0616571a4a5fea6f2b21
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@@ -1,6 +1,39 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "MpkYHwCqk7W-"
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},
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"source": [
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"\n",
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"\n",
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"# <h1><center>Tutorial <a href=\"https://colab.research.google.com/github/google-deepmind/mujoco/blob/main/mjx/training_apg.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" width=\"140\" align=\"center\"/></a></center></h1>\n",
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"\n",
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"This notebook provides a tutorial for differentiable physics for policy learning in [**MuJoCo XLA (MJX)**](https://github.com/google-deepmind/mujoco/blob/main/mjx), a JAX-based implementation of MuJoCo.\n",
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"\n",
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"**A Colab runtime with GPU acceleration is required.** If you're using a CPU-only runtime, you can switch using the menu \"Runtime > Change runtime type\".\n",
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"\n",
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"\n",
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"This notebook was written by [Jing Yuan Luo](https://github.com/Andrew-Luo1).\n",
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"\n",
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"\u003c!-- Copyright 2021 DeepMind Technologies Limited\n",
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"\n",
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" Licensed under the Apache License, Version 2.0 (the \"License\");\n",
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" you may not use this file except in compliance with the License.\n",
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" You may obtain a copy of the License at\n",
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"\n",
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" http://www.apache.org/licenses/LICENSE-2.0\n",
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"\n",
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" Unless required by applicable law or agreed to in writing, software\n",
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" distributed under the License is distributed on an \"AS IS\" BASIS,\n",
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" WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
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" See the License for the specific language governing permissions and\n",
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" limitations under the License.\n",
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"--\u003e"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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