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.
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-1.0.46.tar.gz
(56.3 MB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file dm_control-1.0.46.tar.gz.
File metadata
- Download URL: dm_control-1.0.46.tar.gz
- Upload date:
- Size: 56.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.2.0 CPython/3.13.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0bc1aa81f7a118c178f19c040d3a8ce8f48ab848ebf7ec69e738861abff2a8dd
|
|
| MD5 |
1add785c6b00f7ac721c7414897cd634
|
|
| BLAKE2b-256 |
6930f8613e2345bda75eabd37549dbb3b58ac0d7ee2027468d5b95a70792d760
|
File details
Details for the file dm_control-1.0.46-py3-none-any.whl.
File metadata
- Download URL: dm_control-1.0.46-py3-none-any.whl
- Upload date:
- Size: 56.5 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.2.0 CPython/3.13.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
be98ff8a88f26796caa0eb4ac11af4f19076c34fd9ab101b38f9d4bd4016c09a
|
|
| MD5 |
f624af2ecb4c9e05bd2db44890797faf
|
|
| BLAKE2b-256 |
4314f678a816447389b70f4d95d18fa5972dd18984c6f1902e6a9f93fc0db914
|