Markov Decision Processes: Discrete Stochastic Dynamic Programming

Puterman, Martin L.

ISBN 10: 0471619779 / ISBN 13: 9780471619772

Verlag: Wiley-Interscience (edition 1), 1994

It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience. Bestandsnummer des Verkäufers 0471619779-11-1

Inhaltsangabe:

A Markov chain is a sequence of events where the probability of each event is dependent on the event immediately preceding it, but independent of earlier events. Models and numerical equations are used to describe the patterns. This process is particularly useful in operations research and decision science for plotting the sequence of actions which will cause a system to perform optimally. This study provides a unified treatment of the theory, applications and computational methods for Markov decision processes. Important topics featured include action elimination methods, value iteration in the average reward case and sensitive discount optimality.

Reseña del editor: A Markov chain is a sequence of events where the probability of each event is dependent on the event immediately preceding it, but independent of earlier events. Models and numerical equations are used to describe the patterns. This process is particularly useful in operations research and decision science for plotting the sequence of actions which will cause a system to perform optimally. This study provides a unified treatment of the theory, applications and computational methods for Markov decision processes. Important topics featured include action elimination methods, value iteration in the average reward case and sensitive discount optimality.

Bibliografische Details

Titel: Markov Decision Processes: Discrete ...
Verlag: Wiley-Interscience (edition 1)
Erscheinungsdatum: 1994
Einband: Hardcover
Zustand: Good
Auflage: 1.