Yarı Markov Karar Süreci Problemlerinin Çözümünde Çok Katmanlı Yapay Sinir Ağlarıyla Fonksiyon Yaklaşımlı Ödüllü Öğrenme Algoritması

Authors : Mustafa Ahmet Beyazıt OCAKTAN, Ufuk KULA

Pages : 307-307

Doi:10.16984/saufbed.75737

View : 23 | Download : 11

Publication Date : 2013-06-01

Article Type : Research Paper

Abstract :Real life problems are generally large-scale and difficult to model. Therefore, these problems can`t be mostly solved by classical optimisation methods. This paper presents a reinforcement learning algorithm using a multi-layer artificial neural network to find an approximate solution for large-scale semi Markov decision problems. Performance of the developed algorithm is measured and compared to the classical reinforcement algorithm on a small-scale numerical example. According to results of numerical examples, a number of hidden layer are the key success factors, and average cost of the solution generated by the developed algorithm is approximately equal to that generated by the classical reinforcement algorithm.
Keywords : Markov Yarı Markov Karar Süreci, Ödüllü Öğrenme, Çok Katmanlı Yapay Sinir Ağları