Metadata-Version: 2.1
Name: pyrlprob
Version: 1.6.0
Summary: Train easily Gym-derived environments in python/C++ through Ray RLlib
Home-page: https://github.com/LorenzoFederici/pyrlprob
Author: Lorenzo Federici
Author-email: federicilorenzo94@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE.txt

<div align="center"> <h1><b> pyRLprob </b></div>

<div align="center">

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PyRLprob is an open-source python library for easy training, evaluation, and postprocessing of [Gym](https://gym.openai.com/)-based environments, written in python or c++, through [Ray-RLlib](https://docs.ray.io/en/master/rllib.html) reinforcement learning library.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install the latest stable release of pyRLprob, with all its dependencies:

```bash
pip install pyrlprob
```

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


```python
import pyrlprob
from pyrlprob.tests import test_train, test_train_eval

test_train()
test_train_eval()
```

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

## User Guide
Coming soon...

## Credits
pyRLprob has been created by [Lorenzo Federici](https://github.com/LorenzoFederici) in 2021.
For any problem, clarification or suggestion, you can contact the author at [lorenzo.federici@uniroma1.it](mailto:lorenzo.federici@uniroma1.it).

## License
The package is under the [MIT](https://choosealicense.com/licenses/mit/) license.



