Continuous control environments and MuJoCo Python bindings.
Project description
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
dm_control-1.0.4.tar.gz
(38.2 MB
view details)
Built Distribution
File details
Details for the file dm_control-1.0.4.tar.gz
.
File metadata
- Download URL: dm_control-1.0.4.tar.gz
- Upload date:
- Size: 38.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 904b83f65b746384281d8d9b3e17778528097d15449886d52574becf7a6cc4ac |
|
MD5 | c4fccc32e8ccec9b919eb49ae92190d1 |
|
BLAKE2b-256 | 40c7a8c749321d96c53114b1b466c9d5f30e929fe3cd6134a08db4c70240bcdf |
File details
Details for the file dm_control-1.0.4-py3-none-any.whl
.
File metadata
- Download URL: dm_control-1.0.4-py3-none-any.whl
- Upload date:
- Size: 38.6 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | cdea0eff5ec970c6bbc44d3545563b7fcab6f2df3c8fe43bb551f16a18829289 |
|
MD5 | a77ced6152a6b6ea5abb533dc73bec65 |
|
BLAKE2b-256 | d64556c1f47c8c2e0efd62d9c2e3690846e954a141230a99406703767fe824f2 |