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010   $a1-282-30778-9
010   $a9786612307782
010   $a0-470-31688-8
010   $a0-470-31772-8
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035   $a(OCoLC)460049683
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100   $a19930421d2005      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMarkov decision processes $ediscrete stochastic dynamic programming /$fMartin L. Puterman
210  1$aNew York :$cJohn Wiley & Sons,$d2005.
215   $a1 online resource (680 pages)
225 1 $aWiley series in probability and mathematical statistics. Applied probability and statistics section
300   $aDescription based upon print version of record.
311   $a0-471-72782-2 
311   $a0-471-61977-9 
320   $aIncludes bibliographical references and index.
327   $a1. Introduction -- 2. Model Formulation -- 3. Examples -- 4. Finite-Horizon Markov Decision Processes -- 5. Infinite-Horizon Models: Foundations -- 6. Discounted Markov Decision Problems -- 7. The Expected Total-Reward Criterion -- 8. Average Reward and Related Criteria -- 9. The Average Reward Criterion-Multichain and Communicating Models -- 10. Sensitive Discount Optimality -- 11. Continuous-Time Models -- Appendix A. Markov Chains -- Appendix B. Semicontinuous Functions -- Appendix C. Normed Linear Spaces -- Appendix D. Linear Programming.
410  0$aWiley series in probability and mathematical statistics.$pApplied probability and statistics.
606   $aDynamic programming
606   $aMarkov processes
606   $aStatistical decision
615  0$aDynamic programming.
615  0$aMarkov processes.
615  0$aStatistical decision.
700   $aPuterman$b Martin L.$0622805
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910144693203321
996   $aMarkov decision processes$91093341
997   $aUNINA