Approximating Euclidean by Imprecise Markov Decision Processes

Manfred Jaeger, Giorgio Bacci, Giovanni Bacci +2

Euclidean Markov decision processes are a powerful tool for modeling control problems under uncertainty over continuous domains. Finite state imprecise, Markov decision processes c…