Devoted to a systematic exposition of some recent developments in
the theory of discrete-time Markov control processes, the text is
mainly confined to MCPs with Borel state and control spaces.
Although the book follows on from the author's earlier work, an
important feature of this volume is that it is self-contained and
can thus be read independently of the first.
The control model studied is sufficiently general to include
virtually all the usual discrete-time stochastic control models
that appear in applications to engineering, economics, mathematical
population processes, operations research, and management science.
General
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