Deep reinforcement learning (DRL) is currently taking the world by storm and is seen as the "it" of machine learning technologies, the it goal of reaching some form of general AI. Perhaps it is because DRL approaches the cusp of general AI or what we perceive as general intelligence. It is also likely to be one of the main reasons you are reading this book. Fortunately, this chapter, and the majority of the rest of the book, focuses deeply on reinforcement learning (RL) and its many variations. In this chapter, we start learning the basics of RL and how it can be adapted to deep learning (DL). We will explore the OpenAI Gym environment, a great RL playground, and see how to use it with some simple DRL techniques.
Keep in mind, this is a hands-on book, so we will be keeping technical theory to a minimum, and instead we will explore plenty of working examples...
