Metadata-Version: 2.1
Name: dm-control
Version: 1.0.3
Summary: Continuous control environments and MuJoCo Python bindings.
Home-page: https://github.com/deepmind/dm_control
Author: DeepMind
Author-email: mujoco@deepmind.com
License: Apache License 2.0
Keywords: machine learning control physics MuJoCo AI
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.7
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 (>=2.2.0)
Requires-Dist: numpy (>=1.9.0)
Requires-Dist: protobuf (>=3.15.6)
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'


# `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 Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/deepmind/dm_control/blob/master/tutorial.ipynb)
