Train easily OpenAI-Gym environments through Ray-RLlib
Project description
pyRLprob
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.
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