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Train Gym-derived environments in Python/C++ through Ray RLlib

Project description

GitHub Repo stars GitHub last commit GitHub Release Date GitHub release (latest by date) PyPI - Python Version

PyRLprob is an open-source python library for training, evaluation, and postprocessing of Gym-based environments, written in Python, through Ray-RLlib reinforcement learning library.

Installation

Use the package manager pip to install the latest stable release of pyRLprob, with all its dependencies:

pip install pyrlprob

To test if the package is installed correctly, run the following tests:

from pyrlprob.tests import *

test_train_eval_py()

If the code exits without errors, a folder named results/ with the test results will be created in your current directory.

User Guide

Latest user guide.

Credits

pyRLprob has been created by Lorenzo Federici in 2021. For any problem, clarification or suggestion, you can contact the author at lorenzof@arizona.edu.

License

The package is under the MIT license.

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