Proses Keputusan Markov dengan Metode Pengiterasian Kebijakan

Abstract

Decision making requires some consideration of the analysis so that decisions can be satisfying and optimal. This paper describes one method of decision making of the policy iteration method as a Markov decision process method based on stochastic models . Policy Iteration method is a method that uses an iterative approach that starts from any policy, and ultimately will determine a new policy that gives the expected value of better income. If it is determined that S is a policy that was running when stationary, then the relative value that is used to get an average income can be solved with the equation g q p vS  j vS i m j S ij S i S     1 , i  0, 1, . . ., m vS m=0 where m is an arbitarirly chosen state.