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-1.0.21.tar.gz
(56.1 MB
view details)
Built Distribution
File details
Details for the file dm_control-1.0.21.tar.gz
.
File metadata
- Download URL: dm_control-1.0.21.tar.gz
- Upload date:
- Size: 56.1 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.11.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 64a7593e3dfcf8c6ddc7d004079903ec27cea5831370411ae76136aa0a9fa6ef |
|
MD5 | 42a74f2c6436e4e994fc95648155ea85 |
|
BLAKE2b-256 | a5a03a6e5f900639a638e619082b9e2e95ee0dbd3809e5d5afae5917eb2411ca |
File details
Details for the file dm_control-1.0.21-py3-none-any.whl
.
File metadata
- Download URL: dm_control-1.0.21-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 | 3af74c80fd2f9e8b469db4d97075be4e2e00afbace5d9b187aee11c18192f9a6 |
|
MD5 | aa4b56bb3b55480b3fe9a56d10a282ce |
|
BLAKE2b-256 | 50f85a4c12958bf1ffed7b638f52ff17e6cc403bf7641ec32b4de29fe3b5369e |