An Application of Artificial Intelligence in Reinforcement Learning

Abstract

Reinforcement learning comes from the animal learning theory. RL does not need prior knowledge, it
can autonomously get optional policy with the knowledge obtained by trial-and-error and
continuously interacting with dynamic environment. Its characteristics of self improving and online
learning make reinforcement learning become one of intelligent agent's core technologies. In this
paper, we firstly survey the theory of reinforcement learning. Finally, we briefly introduce some
applications of reinforcement learning and point out some future research directions of reinforcement
learning.