Metadata-Version: 2.4
Name: dm_control
Version: 1.0.36
Summary: Continuous control environments and MuJoCo Python bindings.
Home-page: https://github.com/google-deepmind/dm_control
Author: DeepMind
Author-email: mujoco@deepmind.com
License: Apache-2.0
Keywords: machine learning control physics MuJoCo AI
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: AUTHORS
Requires-Dist: absl-py>=0.7.0
Requires-Dist: dm-env
Requires-Dist: dm-tree!=0.1.2
Requires-Dist: glfw
Requires-Dist: labmaze
Requires-Dist: lxml
Requires-Dist: mujoco>=3.4.0
Requires-Dist: numpy>=1.9.0
Requires-Dist: protobuf>=3.19.4
Requires-Dist: pyopengl>=3.1.4
Requires-Dist: pyparsing>=3.0.0
Requires-Dist: requests
Requires-Dist: setuptools!=50.0.0
Requires-Dist: scipy
Requires-Dist: tqdm
Provides-Extra: hdf5
Requires-Dist: h5py; extra == "hdf5"
Dynamic: author
Dynamic: author-email
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
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# `dm_control`: DeepMind Infrastructure for Physics-Based Simulation.

DeepMind's software stack for physics-based simulation and Reinforcement
Learning environments, using MuJoCo physics.

An **introductory tutorial** for this package is available as a Colaboratory
notebook: [Open In Google Colab](https://colab.research.google.com/github/google-deepmind/dm_control/blob/main/tutorial.ipynb).
