A Learning Fuzzy Controller to Control Exploration Rate in XCS

Explore/Exploit dilemma is one of the most challenging issues in reinforcement learning area as well as learning classifier systems such as XCS. In this paper, an intelligent method is proposed to control the exploration rate in XCS to improve its long-term performance. This method is called Intelligent Exploration Method (IEM) and is applied to some benchmark problems to show the advantages of adaptive exploration rate for XCS.

کلیدواژه ها:

Learning Classifier Systems ، XSK ، Exploration/ Exploitation Dilemma ، XCS ، IEM