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About
The past decade has seen considerable theoretical and applied research on Markov decision processes, as well as the growing use of these models in ecology, economics, communications engineering, and other fields where outcomes are uncertain and sequential decision-making processes are needed. A timely response to this increased activity, Martin L. Puterman's new work provides a uniquely up-to-date, unified, and rigorous treatment of the theoretical, computational, and applied research on Markov decision process models. It discusses all major research directions in the field, highlights many…
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Editions
6 editions- Paperback · English · 2005Wiley-Interscience · 680 pages · 9780471727828
- Other · English · 2014Wiley & Sons, Incorporated, John · 684 pages · 9781118625873
- Other · English · 2009Wiley & Sons, Incorporated, John · 684 pages · 9780470317723
- Other · English · 2008Wiley & Sons, Incorporated, John · 9780470316887
- Other · English · 2005Wiley & Sons, Incorporated, John · 684 pages · 9781118625927
- Other · English · 1994Wiley · 649 pages · 9780471619772
Dynamic programmingMarkov processesStatistical decisionEntscheidungstheorieStochastische OptimierungDynamische OptimierungDiskreter Markov-ProzessMarkovscher Prozess