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Merge pull request #10 from Andrew-Luo1:main
PiperOrigin-RevId: 716260872 Change-Id: Ia459a327d7cd698e7862c0079e89abaede06cf9e
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README.md

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3. Manipulation Environments [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/google-deepmind/mujoco_playground/blob/main/learning/notebooks/manipulation.ipynb)
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For tutorials on using MuJoCo Playground with Madrona-MJX, see:
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1. Training CartPole from Vision [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/google-deepmind/mujoco_playground/blob/main/learning/notebooks/training_vision_1.ipynb)
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2. Robotic Manipulation from Vision [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/google-deepmind/mujoco_playground/blob/main/learning/notebooks/training_vision_2.ipynb)
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1. Training CartPole from Vision [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/google-deepmind/mujoco_playground/blob/main/learning/notebooks/training_vision_1_t4.ipynb)
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2. Robotic Manipulation from Vision (Local Instance) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/google-deepmind/mujoco_playground/blob/main/learning/notebooks/training_vision_2.ipynb)
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## How can I contribute?
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learning/notebooks/training_vision_1.ipynb

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"\n",
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"> <p><small><small>Copyright 2025 DeepMind Technologies Limited.</small></p>\n",
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"> <p><small><small>Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use this file except in compliance with the License. You may obtain a copy of the License at <a href=\"http://www.apache.org/licenses/LICENSE-2.0\">http://www.apache.org/licenses/LICENSE-2.0</a>.</small></small></p>\n",
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"> <p><small><small>Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.</small></small></p>\n",
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"\n",
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"> <p><small><small>Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.</small></small></p>"
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]
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},
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{
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"cell_type": "markdown",
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"id": "25844711",
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"metadata": {},
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"source": [
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"# Tutorial\n",
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"This notebook is the first of two that demonstrate pixels-to-actions training using the experimental Madrona rendering backend. As a prerequisite, please install [Madrona-MJX](https://github.com/shacklettbp/madrona_mjx/tree/main)!"
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"This notebook is the first of two that demonstrate pixels-to-actions training using the experimental Madrona rendering backend. \n",
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"\n",
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"### Usage\n",
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"\n",
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"Please note that this Colab **does not support a hosted runtime**. To use it, please install [Madrona-MJX](https://github.com/shacklettbp/madrona_mjx/tree/main) and Playground on your local device and select `Connect to a local runtime`, or download the notebook to run locally! We recommend a device with at least 24 GB VRAM, such as the RTX4090."
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{

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