13 Towards artificial general intelligence
· You look back at the algorithms you learned in this book, and learn about deep reinforcement learning methods that weren’t covered in-depth.
· You learn about advanced deep reinforcement learning techniques that, when combined, allow agents to display more-general intelligence.
· You get my parting advice on how to follow your dreams and contribute to these fabulous fields of artificial intelligence and deep reinforcement learning.
Our ultimate objective is to make programs that learn from their experience as effectively as humans do.
— John McCarthy Founder of the field of Artificial Intelligence Inventor of the Lisp programming Language
In this book, we have surveyed a wide range of decision-making algorithms and reinforcement-learning agents; from the planning methods that you learned about in chapter 3 to the state-of-the-art deep reinforcement learning agents that we covered in the previous chapter. The focus of this book is to teach the ins-and-outs of the algorithms, and I think it does a pretty decent job at that. However, there is more to DRL than what we covered in this book, and I want you to have some direction going forward.