9781447150213 - simulation-based algorithms for markov decision processes di chang, hyeong soo; hu, jiaqiao; fu, michael c.; marcus, steven i. (11 risultati)
Simulation-Based Algorithms for Markov Decision Processes (Communications and Control Engineering)
Chang, Hyeong Soo; Hu, Jiaqiao; Fu, Michael C.; Marcus, Steven I.
Lingua: Inglese
Editore: Springer, 2013
Serie: Libro 26 di 65 - Communications and Control Engineering
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In.
Lingua: Inglese
Editore: Springer, 2013
Serie: Libro 26 di 65 - Communications and Control Engineering
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Condizione: New. pp. 248.
Lingua: Inglese
Editore: Springer, 2013
Serie: Libro 26 di 65 - Communications and Control Engineering
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 2nd edition. 246 pages. 9.25x6.25x0.75 inches. In Stock.
Lingua: Inglese
Editore: Springer London, Springer London, 2013
Serie: Libro 26 di 65 - Communications and Control Engineering
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Simulation-Based Algorithms for Markov Decision Processes (Communications and Control Engineering)
Chang, Hyeong Soo, Hu, Jiaqiao, Fu, Michael C., Marcus, Stev
Lingua: Inglese
Editore: Springer, 2013
Serie: Libro 26 di 65 - Communications and Control Engineering
- Rilegato
Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Springer, 2013
Serie: Libro 26 di 65 - Communications and Control Engineering
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer London Mrz 2013, 2013
Serie: Libro 26 di 65 - Communications and Control Engineering
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 stat…e 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. 248 pp. Englisch.
Lingua: Inglese
Editore: Springer London, 2013
Serie: Libro 26 di 65 - Communications and Control Engineering
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Da: moluna, Greven, Germaniamoluna
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Rigorous theoretical derivation of sampling and population-based algorithms enables the reader to expand on the work presented in the certainty that new results will have a sound foundation New chapter on g…ame-theoretic methods for solving Markov .
Lingua: Inglese
Editore: Springer, 2013
Serie: Libro 26 di 65 - Communications and Control Engineering
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. 248 29 Illus. (1 Col.).
Lingua: Inglese
Editore: Springer, 2013
Serie: Libro 26 di 65 - Communications and Control Engineering
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 248.
Lingua: Inglese
Editore: Springer, Springer Mär 2013, 2013
Serie: Libro 26 di 65 - Communications and Control Engineering
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 an…d/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; anddetails 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 248 pp. Englisch.
