Discrete-Time Markov Control Processes: Basic Optimality Criteria, Volume 1
This book provides a unified, comprehensive treatment of some recent theoretical developments on Markov control processes. Interest is mainly confined to MPCs with Borel state and control spaces, and possibly unbounded costs and noncompact control constraint sets. The control model studied is sufficiently general to include virtually all of the usual discrete-time stochastic control models that appear in applications to engineering, economics, mathematical population processes, operations research, and management science. Much of the material appears for the first time in book form.
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