Markov decision process (MDP) models are widely used for
modeling sequential decision-making problems that arise in
engineering, economics, computer science, and the social sciences.
This book brings the state-of-the-art research together for the
first time. It provides practical modeling methods for many
real-world problems with high dimensionality or complexity which
have not hitherto been treatable with Markov decision
processes.
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