Part 1. Foundations
Chapter 1 begins with a high-level introduction to deep reinforcement learning, explaining its main concepts and its utility. In chapter 2 we’ll start building practical projects that illustrate the basic ideas of reinforcement learning. In chapter 3 we’ll implement a deep Q-network—the same kind of algorithm that DeepMind famously used to play Atari games at superhuman levels.