Learning Automata Theory

Abstract

Learning automaton (LA) as one of computational intelligence techniques is a stochastic model operating in the framework of the reinforcement learning. LA has been found to be a useful tool for solving many complex and real world problems where a large amount of uncertainty exists or there is no access to the whole information regarding the environment. In this chapter, learning automaton and its variant models will be introduced. Also, recent models for learning automata including distributed learning automata and extended distributed learning automata will be presented.