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.
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-1.0.24.tar.gz
(56.2 MB
view details)
Built Distribution
File details
Details for the file dm_control-1.0.24.tar.gz.
File metadata
- Download URL: dm_control-1.0.24.tar.gz
- Upload date:
- Size: 56.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b839cb0dc44e7d8cdf4f198638c6a92d7d845c85f188c9205e222a08d78d07e8 |
|
| MD5 | e5b135b276bb1933b29705e053b09dd9 |
|
| BLAKE2b-256 | 7e38791b0a0e435452521af973b24db5c258bde67cfe79d1cb4cfdc52a6668dc |
File details
Details for the file dm_control-1.0.24-py3-none-any.whl.
File metadata
- Download URL: dm_control-1.0.24-py3-none-any.whl
- Upload date:
- Size: 56.3 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | cbde80381b5a4a79db70328b18ba0a1b8d768d2130f4e22ef2b0614319d6dd12 |
|
| MD5 | 0aeac688f6de56e3e059fbe80e739a6c |
|
| BLAKE2b-256 | a156fc31c4fabdbbfe7dab54be4fa0e3cb6a86ee1efbb7a13a38ecf26ac70127 |
