We first came to focus on what is now known as reinforcement learning in late. 1979. We were both at the University of Massachusetts, working on one of.

A complete list of books published in the Adaptive Computation and Machine Learning series appears at the back of this book. The cover design is based on the ...

Abstract. Many reinforcement learning methods are based on a func- tion Q(s, a) whose value is the discounted total reward expected after.

In this paper, we thoroughly explain how Q-learning evolved by unraveling the mathematical complexities behind it as well its flow from reinforcement learning ...