Introduction

Reinforcement Learning was something that deeply interested me. I was fascinated by the idea of an AI that can learn from experience.

My introduction to it was through the Kaggle Course complete with the accompanying project about making an AI that play a strategic turn-based game algorithmically.

I further continued learning Reinforcement Learning from the OpenAI documentations like the one about Proximal Policy Optimization and the documentation for the Stable Baselines package which is used to implement Reinforcement Learning.

My undergraduate program in BS Data Science also had elective on Reinforcement Learning but I ended up favoring other electives over it since I had a limited number of credits remaining to graduate and I had learned the practical aspects of Reinforcement Learning already.