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-1.0.23.tar.gz
(56.1 MB
view details)
Built Distribution
File details
Details for the file dm_control-1.0.23.tar.gz
.
File metadata
- Download URL: dm_control-1.0.23.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 | 29d7f85da96903c83f0debae0d9a392924977a7f309d8312ab3a65c6a7354216 |
|
MD5 | f85960f58f88e9e2297b28dcc6b6c7de |
|
BLAKE2b-256 | e14ed4c62239cfac35f7874f686b4ae7875384e880257f5b24a4b8620d335861 |
File details
Details for the file dm_control-1.0.23-py3-none-any.whl
.
File metadata
- Download URL: dm_control-1.0.23-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 | 1bc917b3c9d81b49e4278776b1db4ffa332ac77095c5eb02523ae91cc6550f36 |
|
MD5 | 29312f2bfe029fd5249828a1f9183d34 |
|
BLAKE2b-256 | 803bd72abe7d4ec9dd304c24e03930e9557fe273d4cf4e7fe49c1f1812e84ae3 |