This book presents the second part of a two-volume series devoted to a
systematic exposition of some recent developments in the theory of
discrete-time Markov control processes. As in Volume I (AM 30
Discrete-Time Markov Control Processes: Basic Optimality Criteria),
interest is mainly confined to MCPs with Borel state and control spaces.
However, an important feature of the present volume is that is it
essentially self-contained and can be read independently of Volume I,
because the assumptions on the control models are usually different.