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001433493 001__ 1433493
001433493 003__ OCoLC
001433493 005__ 20230309003609.0
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001433493 019__ $$a1232281654$$a1237473370$$a1238203700
001433493 020__ $$a9783030618674$$q(electronic bk.)
001433493 020__ $$a3030618676$$q(electronic bk.)
001433493 020__ $$z3030618668
001433493 020__ $$z9783030618667
001433493 0247_ $$a10.1007/978-3-030-61867-4$$2doi
001433493 035__ $$aSP(OCoLC)1231958227
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001433493 049__ $$aISEA
001433493 050_4 $$aT57.83$$b.B73 2021
001433493 08204 $$a519.703$$223
001433493 08204 $$a658.40301$$223
001433493 1001_ $$aBrandimarte, Paolo,$$eauthor.
001433493 24510 $$aFrom shortest paths to reinforcement learning :$$ba MATLAB-based tutorial on dynamic programming /$$cPaolo Brandimarte.
001433493 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2021]
001433493 300__ $$a1 online resource
001433493 336__ $$atext$$btxt$$2rdacontent
001433493 337__ $$acomputer$$bc$$2rdamedia
001433493 338__ $$aonline resource$$bcr$$2rdacarrier
001433493 347__ $$atext file
001433493 347__ $$bPDF
001433493 4901_ $$aEURO advanced tutorials on operational research
001433493 504__ $$aIncludes bibliographical references and index.
001433493 5050_ $$aThe dynamic programming principle -- Implementing dynamic programming -- Modeling for dynamic programming -- Numerical dynamic programming for discrete states -- Approximate dynamic programming and reinforcement learning for discrete states -- Numerical dynamic programming for continuous states -- Approximate dynamic programming and reinforcement learning for continuous states.
001433493 506__ $$aAccess limited to authorized users.
001433493 520__ $$aDynamic programming (DP) has a relevant history as a powerful and flexible optimization principle, but has a bad reputation as a computationally impractical tool. This book fills a gap between the statement of DP principles and their actual software implementation. Using MATLAB throughout, this tutorial gently gets the reader acquainted with DP and its potential applications, offering the possibility of actual experimentation and hands-on experience. The book assumes basic familiarity with probability and optimization, and is suitable to both practitioners and graduate students in engineering, applied mathematics, management, finance and economics.
001433493 588__ $$aOnline resource; title from digital title page (viewed on March 02, 2021).
001433493 63000 $$aMATLAB.
001433493 650_0 $$aDynamic programming.
001433493 650_0 $$aOperations research$$xMethodology.
001433493 650_0 $$aManagement science$$xMethodology.
001433493 650_6 $$aProgrammation dynamique.
001433493 650_6 $$aRecherche opérationnelle$$xMéthodologie.
001433493 650_6 $$aSciences de la gestion$$xMéthodologie.
001433493 655_0 $$aElectronic books.
001433493 77608 $$iPrint version:$$z3030618668$$z9783030618667$$w(OCoLC)1196241988
001433493 830_0 $$aEURO advanced tutorials on operational research.
001433493 852__ $$bebk
001433493 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-61867-4$$zOnline Access$$91397441.1
001433493 909CO $$ooai:library.usi.edu:1433493$$pGLOBAL_SET
001433493 980__ $$aBIB
001433493 980__ $$aEBOOK
001433493 982__ $$aEbook
001433493 983__ $$aOnline
001433493 994__ $$a92$$bISE