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-1.0.8.tar.gz
(39.0 MB
view details)
Built Distribution
File details
Details for the file dm_control-1.0.8.tar.gz.
File metadata
- Download URL: dm_control-1.0.8.tar.gz
- Upload date:
- Size: 39.0 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 2bbeced798d29d1a67af781ef999379c5e4f6931d750f4e18f63f214620033bb |
|
| MD5 | 687f37e92e5218ee6116ba0dfb22ea0b |
|
| BLAKE2b-256 | 53fe5db2f2647f5d852b2de3c1274ef992a5556441bb60be3db5cad79dac0462 |
File details
Details for the file dm_control-1.0.8-py3-none-any.whl.
File metadata
- Download URL: dm_control-1.0.8-py3-none-any.whl
- Upload date:
- Size: 39.3 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 64d4a3a123c6997ee413a495147102fc9b41902fc25d37b4a4e1479df8ae0dfe |
|
| MD5 | 66cd5027178406e0cf0e36a32e1e53a7 |
|
| BLAKE2b-256 | fa834f8b351e79372e82d956c4dcc6c58ed9077f0c9a01079d0711c49a9a961a |
