Reinforcement Learning Theory,Algorithms and Application

Abstract

Reinforcement Learning develops from the animal learning theory. RL does not need prior knowledge, and it can autonomously improve its behavior policy with the knowledge obtained by continuously interacting with the envi- ronment. The main reinforcement learning algorithm including TD algorithm, Q-learning and R-learning are roundly in- troduced. Finally, the research and development on the multiple mobile robots system are presented.