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Train easily OpenAI-Gym environments through Ray-RLlib

Project description

pyRLprob

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

pyRLprob is a Python library for easy training, evaluation, and postprocessing of OpenAI-Gym environments 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 test (one-dimensional landing problem):

import pyrlprob
from pyrlprob.tests import test

test()

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

Credits

pyRLprob has been created by Lorenzo Federici in 2021. For any problem, clarification or suggestion, you can contact the author at lorenzo.federici@uniroma1.it.

License

The package is under the MIT license.

Project details


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