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-1.0.44.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-1.0.44.tar.gz.
File metadata
- Download URL: dm_control-1.0.44.tar.gz
- Upload date:
- Size: 56.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6a5daa60130a8ca1ada40d8a2f89ed96dab2e2f3a6b32e408cf03ff86ec87d5d
|
|
| MD5 |
f9729669160278838afe85ecf64bd261
|
|
| BLAKE2b-256 |
9652082ddf62082d13753caca4773f16ce2fb2034be0ce7a9ae199d6490b7a28
|
File details
Details for the file dm_control-1.0.44-py3-none-any.whl.
File metadata
- Download URL: dm_control-1.0.44-py3-none-any.whl
- Upload date:
- Size: 56.4 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4353cdf0eca4964ee776ddca680d3cba1056f0cbf57fc4fd6c31c3594a2087c5
|
|
| MD5 |
966c2ce0efc8d4b47bd53bd297a8ae87
|
|
| BLAKE2b-256 |
5e1249c1795d760dcee49f8fc2e619dc9fd2fcb5b7020822b1ae71fb5b5ef760
|