RL_toolbox | reinfore learning tool box , contains trpo

by jjkke88 Python Version: Current License: MIT

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

kandi X-RAY | RL_toolbox Summary

RL_toolbox is a Python library. RL_toolbox has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However RL_toolbox has 3 bugs. You can install using 'pip install RL_toolbox' or download it from GitHub, PyPI.

reinfore learning tool box, contains trpo, a3c algorithm for continous action space

Support

Quality

Security

License

Reuse

Support

RL_toolbox has a low active ecosystem.

It has 45 star(s) with 8 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 1172 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of RL_toolbox is current.

Quality

RL_toolbox has 3 bugs (0 blocker, 0 critical, 3 major, 0 minor) and 456 code smells.

Security

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

RL_toolbox code analysis shows 0 unresolved vulnerabilities.

There are 8 security hotspots that need review.

License

RL_toolbox is licensed under the MIT License. This license is Permissive.

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

Reuse

RL_toolbox releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

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

RL_toolbox saves you 5835 person hours of effort in developing the same functionality from scratch.

It has 12191 lines of code, 516 functions and 119 files.

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

Top functions reviewed by kandi - BETA

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RL_toolbox Key Features

No Key Features are available at this moment for RL_toolbox.

RL_toolbox Examples and Code Snippets

No Code Snippets are available at this moment for RL_toolbox.

Community Discussions

No Community Discussions are available at this moment for RL_toolbox.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install RL_toolbox

You can install using 'pip install RL_toolbox' or download it from GitHub, PyPI.
You can use RL_toolbox like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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