dm_control | DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, usin | Reinforcement Learning library

by deepmind Python Version: 1.0.12 License: Apache-2.0

X-Ray Key Features Code Snippets(1)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | dm_control Summary

dm_control is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Reinforcement Learning, Deep Learning, Pytorch applications. dm_control has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install dm_control' or download it from GitHub, PyPI.

This package consists of the following "core" components:.

Support

Quality

Security

License

Reuse

Support

dm_control has a medium active ecosystem.

It has 3201 star(s) with 613 fork(s). There are 127 watchers for this library.

It had no major release in the last 12 months.

There are 65 open issues and 278 have been closed. On average issues are closed in 11 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dm_control is 1.0.12

Quality

dm_control has 0 bugs and 0 code smells.

Security

dm_control has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

dm_control code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dm_control is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

dm_control releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

dm_control saves you 20851 person hours of effort in developing the same functionality from scratch.

It has 41532 lines of code, 3369 functions and 367 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed dm_control and discovered the below as its top functions. This is intended to give you an instant insight into dm_control implemented functionality, and help decide if they suit your requirements.

Calculate quaternion from a site .
Build the camera .
Creates a new Binding object .
Recursively build a struct from a token .
Add observations to the player s stats .
Render scene .
Initialize the actor .
Drop observations from the proposed schedule .
Parse a Jupyter XML file .
Set a site to a given position .

Get all kandi verified functions for this library.

dm_control Key Features

No Key Features are available at this moment for dm_control.

dm_control Examples and Code Snippets

MoCapAct,Setup

Python

Lines of Code : 5

License : Permissive (MIT)

Copy

conda create -n MoCapAct pip python==3.8
conda activate MoCapAct

git clone https://github.com/microsoft/MoCapAct.git
cd MoCapAct
pip install -e .

Community Discussions

Trending Discussions on dm_control

New State doesn't show anything

QUESTION

New State doesn't show anything

Asked 2017-Feb-24 at 19:48

I'm using $stateProvider to allow different components to control different pages, but I can't seem to get it working with more than one page.

Here's a plnkr: http://plnkr.co/edit/PatUnSmPJfqcYqjz5XaA?p=preview

DM_RoutingSetup.js:

...

ANSWER

Answered 2017-Feb-24 at 19:48

You're using href="/config" instead of href="#/config". Here's a working plunkr fixing yours. The only change is in the href attribute of the links.

Your links would work is you configured the $location service to use the HTML5 mode instead of the default mode. Beware though, this also requires configuration on the server.

Source https://stackoverflow.com/questions/42446098

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install dm_control

dm_control is regularly tested on Ubuntu 16.04 against the following Python versions:. Various people have been successful in getting dm_control to work on other Linux distros, OS X, and Windows. We do not provide active support for these, but will endeavour to answer questions on a best-effort basis.
3.6
3.7
3.8
3.9
Download MuJoCo Pro 2.00 from the download page on the MuJoCo website. MuJoCo Pro must be installed before dm_control, since dm_control's install script generates Python ctypes bindings based on MuJoCo's header files. By default, dm_control assumes that the MuJoCo Zip archive is extracted as ~/.mujoco/mujoco200_$PLATFORM where $PLATFORM is either linux, win64, or macos.
Install the dm_control Python package by running pip install dm_control. We recommend pip installing into a virtualenv, or with the --user flag to avoid interfering with system packages. At installation time, dm_control looks for the MuJoCo headers from Step 1 in ~/.mujoco/mujoco200_$PLATFORM/include, however this path can be configured with the headers-dir command line argument.
Install a license key for MuJoCo, required by dm_control at runtime. See the MuJoCo license key page for further details. By default, dm_control looks for the MuJoCo license key file at ~/.mujoco/mjkey.txt.
If the license key (e.g. mjkey.txt) or the shared library provided by MuJoCo Pro (e.g. libmujoco200.so or libmujoco200.dylib) are installed at non-default paths, specify their locations using the MJKEY_PATH and MJLIB_PATH environment variables respectively. These environment variables should be set to the full path to the relevant file itself, e.g. export MJLIB_PATH=/path/to/libmujoco200.so.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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