Overview

This repo will serve as a collection of ML experiments/tutorials.

The code in this repo has been tested on a machine running Ubuntu Linux 20.0.4 with Python 3.8 installed. VS Code's Jupyter notebook plugin was used to run the Jupyter notebooks

Prereqs

1. sudo apt-get install swig
2. pip install gym[all] matplotlib gym[accept-rom-license]

Usage

1. Step through each cell in experiments/openai/qlearning.ipynb. This notebook demonstrates how to solve a simple RL problem using the OpenAI toolkit.

Resources

1. Reinforcement Q-Learning from Scratch in Python with OpenAI Gym
2. OpenAI Gym Documentation