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Ajouter au panierEtat : New. pp. 312.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Ajouter au panierEtat : New. pp. 312 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Ajouter au panierHardcover. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Ajouter au panierEtat : New. pp. 312.
Langue: anglais
Edité par Orange Education Pvt Ltd, 2025
ISBN 10 : 9349888335 ISBN 13 : 9789349888333
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Orange Education Pvt Ltd, 2025
ISBN 10 : 9349888335 ISBN 13 : 9789349888333
Vendeur : California Books, Miami, FL, Etats-Unis
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Ajouter au panierEtat : New.
Vendeur : Gerald Wollermann, Bad Vilbel, Allemagne
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Ajouter au panierEtat : Gut. 1997. 312 Seiten Anderes Cover. Von 1997. Innerhalb Deutschlands Versand je nach Größe/Gewicht als Großbrief bzw. Bücher- und Warensendung mit der Post oder per DHL. Rechnung mit MwSt.-Ausweis liegt jeder Lieferung bei. Sprache: Englisch Gewicht in Gramm: 408 Taschenbuch, Größe: 15.5 x 1.8 x 23.5 cm.
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Ajouter au panierEtat : New.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Ajouter au panierEtat : New. In.
Vendeur : Chiron Media, Wallingford, Royaume-Uni
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Ajouter au panierPF. Etat : New.
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Ajouter au panierEtat : as new. Livraison rapide, bien emballé, service client soigné.Pour tout renseignement complémentaire, n'hésitez pas à nous contacter.
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Ajouter au panierEtat : New. pp. 350.
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Ajouter au panierEtat : New. pp. 350.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Ajouter au panierEtat : New.
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Ajouter au panierHRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 102,04
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Ajouter au panierEtat : New.
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Ajouter au panierEtat : New. pp. 350.
Langue: anglais
Edité par Springer Berlin Heidelberg, 1997
ISBN 10 : 3540629343 ISBN 13 : 9783540629344
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 53,49
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent systems, often makes it extremely difficult or even impossible to correctly and completely specify their behavioral repertoires and dynamics. There is broad agreement that such systems should be equipped with the ability to learn in order to improve their future performance autonomously. The interdisciplinary cooperation of researchers from DAI and machine learning (ML) has established a new and very active area of research and development enjoying steadily increasing attention from both communities. This state-of-the-art report documents current and ongoing developments in the area of learning in DAI systems. It is indispensable reading for anybody active in the area and will serve as a valuable source of information.
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 92,10
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Ajouter au panierPaperback. Etat : Like New. Like New. book.
Langue: anglais
Edité par John Wiley & Sons Inc, New York, 2014
ISBN 10 : 111836208X ISBN 13 : 9781118362082
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Edition originale
EUR 123,15
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Ajouter au panierHardcover. Etat : new. Hardcover. The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods, and stochastic approximation. Chapter 2 covers single agent reinforcement learning. Topics include learning value functions, Markov games, and TD learning with eligibility traces. Chapter 3 discusses two player games including two player matrix games with both pure and mixed strategies. Numerous algorithms and examples are presented. Chapter 4 covers learning in multi-player games, stochastic games, and Markov games, focusing on learning multi-player grid gamestwo player grid games, Q-learning, and Nash Q-learning. Chapter 5 discusses differential games, including multi player differential games, actor critique structure, adaptive fuzzy control and fuzzy interference systems, the evader pursuit game, and the defending a territory games. Chapter 6 discusses new ideas on learning within robotic swarms and the innovative idea of the evolution of personality traits. Framework for understanding a variety of methods and approaches in multi-agent machine learning. Discusses methods of reinforcement learning such as a number of forms of multi-agent Q-learning Applicable to research professors and graduate students studying electrical and computer engineering, computer science, and mechanical and aerospace engineering The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods, and stochastic approximation. Chapter 2 covers single agent reinforcement learning. Topics include learning value functions, Markov games, and TD learning with eligibility traces. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 105,65
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Ajouter au panierEtat : New.
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Ajouter au panierHardback. Etat : New. New copy - Usually dispatched within 4 working days. 513.
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Edition originale
EUR 134,58
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Ajouter au panierEtat : New. The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods, and stochastic approximation. Chapter 2 covers single agent reinforcement learning. Topics include learning value functions, Markov games, and TD learning with eligibility traces. Num Pages: 256 pages, illustrations. BIC Classification: UYQM. Category: (P) Professional & Vocational. Dimension: 163 x 238 x 18. Weight in Grams: 478. . 2014. 1st Edition. Hardcover. . . . .
Langue: anglais
Edité par John Wiley & Sons Inc, New York, 2014
ISBN 10 : 111836208X ISBN 13 : 9781118362082
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Edition originale
EUR 115,11
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Ajouter au panierHardcover. Etat : new. Hardcover. The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods, and stochastic approximation. Chapter 2 covers single agent reinforcement learning. Topics include learning value functions, Markov games, and TD learning with eligibility traces. Chapter 3 discusses two player games including two player matrix games with both pure and mixed strategies. Numerous algorithms and examples are presented. Chapter 4 covers learning in multi-player games, stochastic games, and Markov games, focusing on learning multi-player grid gamestwo player grid games, Q-learning, and Nash Q-learning. Chapter 5 discusses differential games, including multi player differential games, actor critique structure, adaptive fuzzy control and fuzzy interference systems, the evader pursuit game, and the defending a territory games. Chapter 6 discusses new ideas on learning within robotic swarms and the innovative idea of the evolution of personality traits. Framework for understanding a variety of methods and approaches in multi-agent machine learning. Discusses methods of reinforcement learning such as a number of forms of multi-agent Q-learning Applicable to research professors and graduate students studying electrical and computer engineering, computer science, and mechanical and aerospace engineering The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods, and stochastic approximation. Chapter 2 covers single agent reinforcement learning. Topics include learning value functions, Markov games, and TD learning with eligibility traces. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
EUR 111,74
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Ajouter au panierGebunden. Etat : New. Howard M. Schwartz, PhD, received his B.Eng. Degree from McGill University, Montreal, Canada in une 1981 and his MS Degree and PhD Degree from MIT, Cambridge, USA in 1982 and 1987 respectively. He is currently a professor in systems and computer engineering.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 164,02
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Ajouter au panierEtat : New.
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
EUR 166,66
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Ajouter au panierEtat : New. The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods, and stochastic approximation. Chapter 2 covers single agent reinforcement learning. Topics include learning value functions, Markov games, and TD learning with eligibility traces. Num Pages: 256 pages, illustrations. BIC Classification: UYQM. Category: (P) Professional & Vocational. Dimension: 163 x 238 x 18. Weight in Grams: 478. . 2014. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Langue: anglais
Edité par World Scientific Publishing Company, 2023
ISBN 10 : 9811269254 ISBN 13 : 9789811269257
Vendeur : Basi6 International, Irving, TX, Etats-Unis
EUR 178,26
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Ajouter au panierEtat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Langue: anglais
Edité par World Scientific Publishing Company, 2023
ISBN 10 : 9811269254 ISBN 13 : 9789811269257
Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis
EUR 178,26
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Ajouter au panierEtat : 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.
Langue: anglais
Edité par World Scientific Publishing Company, 2023
ISBN 10 : 9811269254 ISBN 13 : 9789811269257
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 195,11
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Ajouter au panierEtat : New.