randomist | Policy Optimization as Online Learning

by proceduralia Python Version: Current License: No License

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

kandi X-RAY | randomist Summary

randomist is a Python library. randomist has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Code for Policy Optimization as Online Learning with Mediator Feedback

Support

Quality

Security

License

Reuse

Support

randomist has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

randomist has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of randomist is current.

Quality

randomist has no bugs reported.

Security

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

License

randomist does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

randomist 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, examples and code snippets are available.

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randomist Key Features

No Key Features are available at this moment for randomist.

randomist Examples and Code Snippets

No Code Snippets are available at this moment for randomist.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install randomist

We mainly use pytorch and numpy as linear algebra libraries. Run pip install -r requirements.txt, preferably on a clean environment, to install all the required packages.

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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