NonstationaryOPE | Asymptotically Unbiased Off-Policy Policy Evaluation

by VincentLiu3 Python Version: Current License: No License

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kandi X-RAY | NonstationaryOPE Summary

NonstationaryOPE is a Python library. NonstationaryOPE has no bugs, it has no vulnerabilities and it has low support. However NonstationaryOPE build file is not available. You can download it from GitHub.

Code for "Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments" (The Youtube dataset can be download from and the MovieLens dataset can be downloaded from The script read_movie.py is used to build the non-stationary rating function from the original MovieLens dataset. Example for running the experiments: python main.py --env_type youtube --sample_percentage 0.1 --window_size 1 where env_type can be youtube, movie or chain (for RL experiment).

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Support

NonstationaryOPE has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of NonstationaryOPE is current.

Quality

NonstationaryOPE has no bugs reported.

Security

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

License

NonstationaryOPE 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

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

NonstationaryOPE has no build file. You will be need to create the build yourself to build the component from source.

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NonstationaryOPE Key Features

No Key Features are available at this moment for NonstationaryOPE.

NonstationaryOPE Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install NonstationaryOPE

You can download it from GitHub.
You can use NonstationaryOPE 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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