Managing Credit Lines Using Markov Decision Processes with Unknown Parameters

Abstract

In this research we apply Markov decision processes with unknown parameters to managing credit lines. We propose a new managing credit lines method which maximizes total discounted reward with reference to a Bayes criterion.