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Examples in Markov Decision Processes
~
Piunovskiy, A. B.
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Examples in Markov Decision Processes
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Examples in Markov Decision Processes/
作者:
Piunovskiy, A. B.
出版者:
Singapore :World Scientific Publishing Company, : 2012.,
面頁冊數:
1 online resource (308 p.)
附註:
Description based upon print version of record.
標題:
Markov processes. -
電子資源:
http://www.worldscientific.com/worldscibooks/10.1142/P809#t=toc
ISBN:
9781848167940 (electronic bk.)
Examples in Markov Decision Processes
Piunovskiy, A. B.
Examples in Markov Decision Processes
[electronic resource]. - Singapore :World Scientific Publishing Company,2012. - 1 online resource (308 p.) - Imperial College Press Optimization Series ;v.2. - Imperial College Press optimization series..
Description based upon print version of record.
This invaluable book provides approximately eighty examples illustrating the theory of controlled discrete-time Markov processes. Except for applications of the theory to real-life problems like stock exchange, queues, gambling, optimal search etc, the main attention is paid to counter-intuitive, unexpected properties of optimization problems. Such examples illustrate the importance of conditions imposed in the theorems on Markov Decision Processes. Many of the examples are based upon examples published earlier in journal articles or textbooks while several other examples are new. The aim was.
ISBN: 9781848167940 (electronic bk.)Subjects--Topical Terms:
532104
Markov processes.
Index Terms--Genre/Form:
542853
Electronic books.
LC Class. No.: QA274.7
Dewey Class. No.: 519.233
Examples in Markov Decision Processes
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3.2.3 A non-optimal strategy for which v x solves the optimality equation
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This invaluable book provides approximately eighty examples illustrating the theory of controlled discrete-time Markov processes. Except for applications of the theory to real-life problems like stock exchange, queues, gambling, optimal search etc, the main attention is paid to counter-intuitive, unexpected properties of optimization problems. Such examples illustrate the importance of conditions imposed in the theorems on Markov Decision Processes. Many of the examples are based upon examples published earlier in journal articles or textbooks while several other examples are new. The aim was.
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http://www.worldscientific.com/worldscibooks/10.1142/P809#t=toc
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