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1 | | -# `dm_control`: DeepMind Infrastructure for Physics-Based Simulation. |
| 1 | +# `dm_control`: Google DeepMind Infrastructure for Physics-Based Simulation. |
2 | 2 |
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3 | | -DeepMind's software stack for physics-based simulation and Reinforcement |
| 3 | +Google DeepMind's software stack for physics-based simulation and Reinforcement |
4 | 4 | Learning environments, using MuJoCo physics. |
5 | 5 |
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6 | 6 | An **introductory tutorial** for this package is available as a Colaboratory |
7 | 7 | notebook: |
8 | | -[](https://colab.research.google.com/github/deepmind/dm_control/blob/main/tutorial.ipynb) |
| 8 | +[](https://colab.research.google.com/github/google-deepmind/dm_control/blob/main/tutorial.ipynb) |
9 | 9 |
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10 | 10 | ## Overview |
11 | 11 |
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@@ -84,7 +84,7 @@ at every single Git commit. |
84 | 84 |
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85 | 85 | If you want to install an unreleased version of `dm_control` directly from our |
86 | 86 | repository, you can do so by running `pip install |
87 | | -git+https://github.com/deepmind/dm_control.git`. |
| 87 | +git+https://github.com/google-deepmind/dm_control.git`. |
88 | 88 |
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89 | 89 | ## Rendering |
90 | 90 |
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@@ -126,7 +126,7 @@ setting the environment variable `MUJOCO_EGL_DEVICE_ID=` to the target GPU ID. |
126 | 126 | `export DYLD_LIBRARY_PATH=$(brew --prefix)/lib:$DYLD_LIBRARY_PATH`. |
127 | 127 |
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128 | 128 | [EXT_platform_device]: https://www.khronos.org/registry/EGL/extensions/EXT/EGL_EXT_platform_device.txt |
129 | | -[Releases page on the MuJoCo GitHub repository]: https://github.com/deepmind/mujoco/releases |
| 129 | +[Releases page on the MuJoCo GitHub repository]: https://github.com/google-deepmind/mujoco/releases |
130 | 130 | [MuJoCo website]: https://mujoco.org/ |
131 | 131 | [publication]: https://doi.org/10.1016/j.simpa.2020.100022 |
132 | 132 | [`ctypes`]: https://docs.python.org/3/library/ctypes.html |
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