dm-control


Namedm-control JSON
Version 1.0.26 PyPI version JSON
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home_pagehttps://github.com/google-deepmind/dm_control
SummaryContinuous control environments and MuJoCo Python bindings.
upload_time2024-12-04 23:11:56
maintainerNone
docs_urlNone
authorDeepMind
requires_python>=3.9
licenseApache License 2.0
keywords machine learning control physics mujoco ai
VCS
bugtrack_url
requirements absl-py dm-env dm-tree glfw h5py labmaze lxml mock mujoco nose nose-xunitmp numpy pillow protobuf pyopengl pyparsing requests scipy setuptools tqdm
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
# `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).

            

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