Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
EUR 20,00
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Aggiungi al carrelloXXVII, 554 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Operations Research / Computer Science Interfaces Series, 25. Sprache: Englisch.
Da: Moe's Books, Berkeley, CA, U.S.A.
EUR 58,33
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Aggiungi al carrelloSoft cover. Condizione: Very good. No jacket. Second edition. Spine is cocked. Cover edges are slightly worn. Fore and bottom edges are stained, but readability is not impacted. Back binding glue is exposed. Inside is unmarked.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 130,05
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Aggiungi al carrelloCondizione: New. In.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 132,72
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduce the evolving area of static and dynamic simulation-based optimization. Covered in detail are model-free optimization techniques - especially designed for those discrete-event, stochastic systems which can be simulated but whose analytical models are difficult to find in closed mathematical forms.Key features of this revised and improved Second Edition include: Extensive coverage, via step-by-step recipes, of powerful new algorithms for static simulation optimization, including simultaneous perturbation, backtracking adaptive search and nested partitions, in addition to traditional methods, such as response surfaces, Nelder-Mead search and meta-heuristics (simulated annealing, tabu search, and genetic algorithms) Detailed coverage of the Bellman equation framework for Markov Decision Processes (MDPs), along with dynamic programming(value and policy iteration) for discounted, average, and total reward performance metrics An in-depth consideration of dynamic simulation optimization via temporal differences and Reinforcement Learning: Q-Learning, SARSA, and R-SMART algorithms, and policy search, via API, Q-P-Learning, actor-critics, and learning automata A special examination of neural-network-based function approximation for Reinforcement Learning, semi-Markov decision processes (SMDPs), finite-horizon problems, two time scales, case studies for industrial tasks, computer codes (placed online) and convergence proofs, via Banach fixed point theory and Ordinary Differential EquationsThemed around three areas in separate sets of chapters - Static Simulation Optimization, Reinforcement Learning and Convergence Analysis - this book is written for researchers and students in the fields of engineering (industrial, systems,electrical and computer), operations research, computer science and applied mathematics.
Da: HPB-Red, Dallas, TX, U.S.A.
EUR 59,56
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 167,62
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Aggiungi al carrelloCondizione: New. In English.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 123,48
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Aggiungi al carrelloCondizione: New.
Da: Books Puddle, New York, NY, U.S.A.
EUR 186,34
Convertire valutaQuantità: 4 disponibili
Aggiungi al carrelloCondizione: New. pp. 508.
Da: Revaluation Books, Exeter, Regno Unito
EUR 183,80
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd reprint edition. 534 pages. 9.25x6.10x1.18 inches. In Stock.
Da: HPB-Red, Dallas, TX, U.S.A.
EUR 101,31
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Da: California Books, Miami, FL, U.S.A.
EUR 201,02
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 187,59
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduce the evolving area of static and dynamic simulation-based optimization. Covered in detail are model-free optimization techniques - especially designed for those discrete-event, stochastic systems which can be simulated but whose analytical models are difficult to find in closed mathematical forms.Key features of this revised and improved Second Edition include: Extensive coverage, via step-by-step recipes, of powerful new algorithms for static simulation optimization, including simultaneous perturbation, backtracking adaptive search and nested partitions, in addition to traditional methods, such as response surfaces, Nelder-Mead search and meta-heuristics (simulated annealing, tabu search, and genetic algorithms) Detailed coverage of the Bellman equation framework for Markov Decision Processes (MDPs), along with dynamic programming(value and policy iteration) for discounted, average, and total reward performance metrics An in-depth consideration of dynamic simulation optimization via temporal differences and Reinforcement Learning: Q-Learning, SARSA, and R-SMART algorithms, and policy search, via API, Q-P-Learning, actor-critics, and learning automata A special examination of neural-network-based function approximation for Reinforcement Learning, semi-Markov decision processes (SMDPs), finite-horizon problems, two time scales, case studies for industrial tasks, computer codes (placed online) and convergence proofs, via Banach fixed point theory and Ordinary Differential EquationsThemed around three areas in separate sets of chapters - Static Simulation Optimization, Reinforcement Learning and Convergence Analysis - this book is written for researchers and students in the fields of engineering (industrial, systems,electrical and computer), operations research, computer science and applied mathematics.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 209,49
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Like New. Like New. book.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 178,52
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Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 302,29
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Aggiungi al carrelloPaperback. Condizione: Brand New. 584 pages. 9.29x6.06x1.34 inches. In Stock.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 344,33
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Like New. Like New. book.
Editore: Springer-Verlag New York Inc., 2016
ISBN 10: 1489977317 ISBN 13: 9781489977311
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 152,22
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 813.
Da: Majestic Books, Hounslow, Regno Unito
EUR 190,41
Convertire valutaQuantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 508.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 199,26
Convertire valutaQuantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 508.