This project seeks to create an AI capable of playing the game Connect-4 using neural networks to learn the game. After researching previous works in the field of neural network based game AI, the type of network chosen was a policy-based neural network. This type of network was researched further, and a neural network using this method was successfully created. After much testing, it was determined that the neural network created using this type does not perform adequately as an AI. The network gets caught in a local minima state, where it has learned a strategy far better than any similar variations, so it never learns to try strategies that are much better.