سال انتشار: ۱۳۸۵

محل انتشار: دوازدهمین کنفرانس سالانه انجمن کامپیوتر ایران

تعداد صفحات: ۸

نویسنده(ها):

Ali Hamzeh – Computer Engineering Department, Iran University of Science and Technology Narmak, Tehran, Iran.
Adel Rahmani – Computer Engineering Department, Iran University of Science and Technology Narmak, Tehran, Iran.
Nahid Parsa – Dade Araay Company Unit 9, Number 15, Golshahr St., Afriqa Ave., Tehran, Iran

چکیده:

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.