03968nam 2200541Ia 450 991074116850332120200520144314.01-4471-5022-810.1007/978-1-4471-5022-0(OCoLC)829740706(MiFhGG)GVRL6YOR(CKB)2670000000530220(MiAaPQ)EBC1205273(EXLCZ)99267000000053022020130228d2013 uy 0engurun|---uuuuatxtccrSimulation-based algorithms for Markov decision processes /by Hyeong Soo Chang, Jiaqiao Hu, Michael C. Fu, Steven I. Marcus2nd ed. 2013.London Springer20131 online resource (xvii, 229 pages) illustrationsCommunications and Control Engineering,0178-5354"ISSN: 0178-5354."1-4471-5021-X 1-4471-5990-X Includes bibliographical references and index.Markov Decision Processes -- Multi-stage Adaptive Sampling Algorithms -- Population-based Evolutionary Approaches -- Model Reference Adaptive Search -- On-line Control Methods via Simulation -- Game-theoretic Methods via Simulation.Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences.  Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical solution of the resulting models intractable.  In other cases, the system of interest is too complex to allow explicit specification of some of the MDP model parameters, but simulation samples are readily available (e.g., for random transitions and costs). For these settings, various sampling and population-based algorithms have been developed to overcome the difficulties of computing an optimal solution in terms of a policy and/or value function.  Specific approaches include adaptive sampling, evolutionary policy iteration, evolutionary random policy search, and model reference adaptive search. This substantially enlarged new edition reflects the latest developments in novel algorithms and their underpinning theories, and presents an updated account of the topics that have emerged since the publication of the first edition. Includes: . innovative material on MDPs, both in constrained settings and with uncertain transition properties; . game-theoretic method for solving MDPs; . theories for developing roll-out based algorithms; and . details of approximation stochastic annealing, a population-based on-line simulation-based algorithm. The self-contained approach of this book will appeal not only to researchers in MDPs, stochastic modeling, and control, and simulation but will be a valuable source of tuition and reference for students of control and operations research. The Communications and Control Engineering series reports major technological advances which have potential for great impact in the fields of communication and control. It reflects research in industrial and academic institutions around the world so that the readership can exploit new possibilities as they become available.Communications and control engineering.Markov processesDecision makingMathematical modelsMarkov processes.Decision makingMathematical models.658.4033Chang Hyeong Soo1424776Hu Jiaqiao1749939Fu Michael C1749940Marcus Steven I122139MiAaPQMiAaPQMiAaPQBOOK9910741168503321Simulation-based algorithms for Markov decision processes4184400UNINA02626nam 2200601Ia 450 991095323710332120200520144314.090-272-8261-71-283-22198-5978661322198810.1075/pbns.47(CKB)2550000000045814(EBL)741341(OCoLC)743694158(MiAaPQ)EBC741341(Au-PeEL)EBL741341(CaPaEBR)ebr10491717(CaONFJC)MIL322198(DE-B1597)719686(DE-B1597)9789027282613(EXLCZ)99255000000004581419971202d1998 uy 0engur|n|---|||||txtrdacontentcrdamediacrrdacarrierContrastive functional analysis /Andrew Chesterman1st ed.Amsterdam ;Philadelphia J. Benjaminc19981 online resource (238 p.)Pragmatics & beyond,0922-842X ;new ser. 47Description based upon print version of record.90-272-5060-X Includes bibliographical references and indexes.CONTRASTIVE FUNCTIONAL ANALYSIS; Editorial page; Title page; Copyright page; Table of contents; Preface; Chapter 1. Contrastive; Chapter 2. Functional; Chapter 3. Analysis; Chapter 4. Rhetoric; Chapter 5. Closing Comments; References; Author index; Subject indexWhy is a raven like a writing-desk? The concept of similarity lies at the heart of this new book on contrastive analysis. Similarity judgements depend partly on properties of the objects being compared, and partly on what the person judging considers to be relevant to the assessment; similarity thus has both objective and subjective aspects. The author shows how contrastive analysis and translation theory make use of the concept in different ways, and explains how it relates to the problematic notions of equivalence and tertium comparationis. The book then develops a meaning-based contrastive Pragmatics & beyond ;new ser. 47.Contrastive linguisticsDiscourse analysisFunctionalism (Linguistics)Contrastive linguistics.Discourse analysis.Functionalism (Linguistics)410Chesterman Andrew162682MiAaPQMiAaPQMiAaPQBOOK9910953237103321Contrastive functional analysis1105941UNINA