/reinforcement-learning

Code work throughs of the classic RL book "Reinforcement Learning" by R. Sutton and A. Barto

Primary LanguagePythonMIT LicenseMIT

Reinforcement Learning

Code work throughs of the classic RL book "Reinforcement Learning" by R. Sutton and A. Barto. (Link)[https://web.stanford.edu/class/psych209/Readings/SuttonBartoIPRLBook2ndEd.pdf]

Getting Started

  1. To get started, clone this repository.
git clone https://github.com/xxEoD2242/reinforcement-learning.git

  1. (Optional) Install a VirtualEnv with Python version 3.7 or greater.

  2. Install all dependencies with the following command, after activativating your Virtual Env:

python3 -m pip install -r requirements.txt

Once this is completed, you can utilize any of the models. To run tests, we utilize the Pytest framework.

Running tests

Pytest should already be installed. To run pytest, simply type pytest in a terminal.

Future Work

This repository will continue to be a selection of tools that I utilize for both learning and for research. Contributions to this work are greatly appreciated. I can be contacted at tyler.fedrizzi@gmail.com as well.