Introduction

This is the Kaggle competition regarding Game AI and Reinforcement Learning.

The project statement was to design an agent that would algorithmically play the most optimal move in the 2-player game Connect 4.

I made two agents for this - one using the techniques and algorithms learnt in the course AI: Search Methods for Problem Solving and another using Deep Reinforcement Learning.

The agent made with the second approach is documented in this section, the other one can be found here.