Safe-Policy-Optimization | benchmark repository for safe reinforcement learning

by OmniSafeAI Python Version: Current License: Apache-2.0

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

kandi X-RAY | Safe-Policy-Optimization Summary

Safe-Policy-Optimization is a Python library. Safe-Policy-Optimization has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Here we provide a table of Safe RL algorithms that the benchmark includes.

Support

Quality

Security

License

Reuse

Support

Safe-Policy-Optimization has a low active ecosystem.

It has 180 star(s) with 18 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 6 have been closed. On average issues are closed in 33 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Safe-Policy-Optimization is current.

Quality

Safe-Policy-Optimization has no bugs reported.

Security

Safe-Policy-Optimization has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Safe-Policy-Optimization 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

Safe-Policy-Optimization releases are not available. You will need to build from source code and install.

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

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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Safe-Policy-Optimization Key Features

No Key Features are available at this moment for Safe-Policy-Optimization.

Safe-Policy-Optimization Examples and Code Snippets

No Code Snippets are available at this moment for Safe-Policy-Optimization.

Community Discussions

No Community Discussions are available at this moment for Safe-Policy-Optimization.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install Safe-Policy-Optimization

You can download it from GitHub.
You can use Safe-Policy-Optimization 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.