Understanding-Reinforcement-Learning-Hands-On

This is a repository that goes hand by hand with my Medium Series under the same name. Here, each article will be further developed, with fully workable coding solutions.

Contents

Here is a list of all the articles and their respective notebooks to follow along.

1. Introduction

2. Multi-Armed Bandits - Notebook

3. Non-Stationarity - Notebook

4. Markov Decision Processes - Notebook

Dependencies

This is a list of all the libraries used throughout the repository. They are required for running the examples.

• Numpy
• Matplotlib
• Gym
• Tqdm