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Using linear programming to solve Markov decision processes
 Dotlačilová, Petra ; Kořenář, Václav (advisor) ; Fábry, Jan (referee)
The aim of this bachelor thesis is to develop and describe how to solve Markov decision processes with alternatives by using the methods of linear programming. The theoretical part describes Markov decision processes. The practical part builds and describes the mathematical model of linear programming processes for Markov decision processes with alternatives. The method used for the calculation of the processes is described with the help of a simplex method. The last section of the practical part studies how the optimal solution of the linear programming is influenced by the postoptimalization changes which modify the probability and revenue properties of the processes.
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