In this chapter, we're going to be using deep neural networks in a slightly different way. Rather than predicting the membership of a class, estimating a value, or even generating a sequence, we're going to be building an intelligent agent. While the terms machine learning and artificial intelligence are often used interchangeably, in this chapter we will talk about an artificial intelligence as an intelligent agent that can perceive it's environment, and take steps to accomplish some goal in that environment.
Imagine an agent that can play a strategy game such as Chess or Go. A very naive approach to building a neural network to solve such a game might be to use a network architecture where we one hot encode every possible board/piece combination and then predict every possible next move. As massive and complex as that network...
