Published by Springer, 2007
ISBN 10: 1846286891 ISBN 13: 9781846286896
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. xviii + 189 1st Edition.
Published by Springer, 2007
ISBN 10: 1846286891 ISBN 13: 9781846286896
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. pp. xviii + 189.
Published by Springer, 2007
ISBN 10: 1846286891 ISBN 13: 9781846286896
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Published by Springer, 2007
ISBN 10: 1846286891 ISBN 13: 9781846286896
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condition: New. Brand New Original US Edition.We Ship to PO BOX Address also. EXPEDITED shipping option also available for faster delivery.This item may ship from the US or other locations in India depending on your location and availability.
Published by Berlin/Berlin, Springer London/Springer Berlin., 2007
ISBN 10: 1846286891 ISBN 13: 9781846286896
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
1. Ed. 235 mm x 155 mm. XVI, 184 S. 38 schw.-w. Ill., 10 schw.-w. Tab., 38 schw.-w. graph. Darst. Hardcover. 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. Communications and Control Engineering. Sprache: Englisch.
Published by Springer, 2007
ISBN 10: 1846286891 ISBN 13: 9781846286896
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Published by Springer, 2015
ISBN 10: 144715990X ISBN 13: 9781447159902
Seller: booksXpress, Bayonne, NJ, U.S.A.
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Published by Springer, 2013
ISBN 10: 144715021X ISBN 13: 9781447150213
Seller: booksXpress, Bayonne, NJ, U.S.A.
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Published by Springer, 2015
ISBN 10: 144715990X ISBN 13: 9781447159902
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Published by Springer, 2013
ISBN 10: 144715021X ISBN 13: 9781447150213
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Springer, 2013
ISBN 10: 144715021X ISBN 13: 9781447150213
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Published by Springer London, 2013
ISBN 10: 144715021X ISBN 13: 9781447150213
Seller: Buchpark, Trebbin, Germany
Condition: Sehr gut. Zustand: Sehr gut | Seiten: 248 | Sprache: Englisch | Produktart: Sonstiges.
Published by Springer, 2013
ISBN 10: 144715021X ISBN 13: 9781447150213
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Springer, 2015
ISBN 10: 144715990X ISBN 13: 9781447159902
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Springer 2015-03, 2015
ISBN 10: 144715990X ISBN 13: 9781447159902
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Published by Springer, 2010
ISBN 10: 1849966435 ISBN 13: 9781849966436
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Springer London Mrz 2013, 2013
ISBN 10: 144715021X ISBN 13: 9781447150213
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Buch. Condition: 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 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. 248 pp. Englisch.
Published by Springer London Mrz 2015, 2015
ISBN 10: 144715990X ISBN 13: 9781447159902
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: 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 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. 248 pp. Englisch.
Published by Springer, 2013
ISBN 10: 144715021X ISBN 13: 9781447150213
Seller: GreatBookPricesUK, Castle Donington, DERBY, United Kingdom
Condition: New.
Published by Berlin Springer London Springer Okt 2010, 2010
ISBN 10: 1849966435 ISBN 13: 9781849966436
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: 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. This book brings the state-of-the-art research together for the first time. It provides practical modeling methods for many real-world problems with high dimensionality or complexity which have not hitherto been treatable with Markov decision processes. 189 pp. Englisch.
Published by Springer, 2010
ISBN 10: 1849966435 ISBN 13: 9781849966436
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Condition: New.
Published by Springer London, 2015
ISBN 10: 144715990X ISBN 13: 9781447159902
Seller: moluna, Greven, Germany
Condition: 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 game-theoretic methods for solving Markov .
Published by Springer London, 2013
ISBN 10: 144715021X ISBN 13: 9781447150213
Seller: moluna, Greven, Germany
Gebunden. Condition: 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 game-theoretic methods for solving Markov .
Published by Springer, 2013
ISBN 10: 144715021X ISBN 13: 9781447150213
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 2nd edition. 246 pages. 9.25x6.25x0.75 inches. In Stock.
Published by Springer London, 2015
ISBN 10: 144715990X ISBN 13: 9781447159902
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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.
Published by Springer London, 2013
ISBN 10: 144715021X ISBN 13: 9781447150213
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: 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.
Published by Springer London, 2010
ISBN 10: 1849966435 ISBN 13: 9781849966436
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides practical modeling methods for many real-world problems with high dimensionality or complextity which have not hitherto been treatable with Markov decision processesRigorous theoretical derivation of sampling and population-based algorith.
Published by Springer London, 2010
ISBN 10: 1849966435 ISBN 13: 9781849966436
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Often, real-world problems modeled by Markov decision processes (MDPs) are difficult to solve in practise because of the curse of dimensionality. In others, explicit specification of the MDP model parameters is not feasible, but simulation samples are available. For these settings, various sampling and population-based numerical algorithms for computing an optimal solution in terms of a policy and/or value function have been developed recently. Here, this state-of-the-art research is brought together in a way that makes it accessible to researchers of varying interests and backgrounds. Many specific algorithms, illustrative numerical examples and rigorous theoretical convergence results are provided. The algorithms differ from the successful computational methods for solving MDPs based on neuro-dynamic programming or reinforcement learning. The algorithms can be combined with approximate dynamic programming methods that reduce the size of the state space and ameliorate the effects of dimensionality.
Published by Springer London Ltd, 2013
ISBN 10: 144715021X ISBN 13: 9781447150213
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Published by Springer London Ltd, 2015
ISBN 10: 144715990X ISBN 13: 9781447159902
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.