Modeling Markov Decision Processes with Imprecise Probabilities Using Probabilistic Logic Programming

Thiago Pereira Bueno, Denis Deratani Mauá, Leliane N. de Barros, Fábio Gagliardi Cozman

Abstract: We study languages that specify Markov Decision Processes with Imprecise Probabilities (MDPIPs) by mixing probabilities and logic programming. We propose a novel language that can capture MDPIPs an...