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This book provides a unified approach for the study of constrained Markov decision processes with a finite state space and unbounded costs. Unlike the single co

This book provides a unified approach for the study of constrained Markov decision processes with a finite state space and unbounded costs. Unlike the single co

This book consists of a series of new, peer-reviewed papers in stochastic processes, analysis, filtering and control, with particular emphasis on mathematical f

Continuous-time Markov decision processes (MDPs), also known as controlled Markov chains, are used for modeling decision-making problems that arise in operation