Idioma: Inglés
Publicado por VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
ISBN 10: 3659287318 ISBN 13: 9783659287312
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2012
ISBN 10: 3659287318 ISBN 13: 9783659287312
Librería: preigu, Osnabrück, Alemania
EUR 43,30
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Añadir al carritoTaschenbuch. Condición: Neu. Analysis of Reinforcement Learning Algorithms for Swarm Learning | A Rough Set Approach | Shamama Anwar | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659287312 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 151,06
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 151,06
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659287318 ISBN 13: 9783659287312
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 156,27
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Añadir al carritopaperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Librería: preigu, Osnabrück, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Reinforcement Learning Algorithms: Analysis and Applications | Boris Belousov (u. a.) | Taschenbuch | viii | Englisch | 2022 | Springer | EAN 9783030411909 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Publicado por Springer International Publishing, Springer Nature Switzerland, 2021
ISBN 10: 3030411877 ISBN 13: 9783030411879
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 160,49
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences. Special emphasis is placed on advanced ideas, algorithms, methods, and applications. The contributed papers gathered here grew out of a lecture course on reinforcement learning held by Prof. Jan Peters in the winter semester 2018/2019 at Technische Universität Darmstadt. The book is intended for reinforcement learning students and researchers with a firm grasp of linear algebra, statistics, and optimization. Nevertheless, all key concepts are introduced in each chapter, making the content self-contained and accessible to a broader audience.
Idioma: Inglés
Publicado por Springer International Publishing, Springer Nature Switzerland, 2022
ISBN 10: 3030411907 ISBN 13: 9783030411909
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 160,49
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences. Special emphasis is placed on advanced ideas, algorithms, methods, and applications. The contributed papers gathered here grew out of a lecture course on reinforcement learning held by Prof. Jan Peters in the winter semester 2018/2019 at Technische Universität Darmstadt. The book is intended for reinforcement learning students and researchers with a firm grasp of linear algebra, statistics, and optimization. Nevertheless, all key concepts are introduced in each chapter, making the content self-contained and accessible to a broader audience.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 214 pages. 9.25x6.10x9.21 inches. In Stock.
Librería: Mispah books, Redhill, SURRE, Reino Unido
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Añadir al carritoHardcover. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Publicado por VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2012
ISBN 10: 3659287318 ISBN 13: 9783659287312
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 77,82
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 68.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659287318 ISBN 13: 9783659287312
Librería: moluna, Greven, Alemania
EUR 41,67
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Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Anwar ShamamaShamama Anwar is currently working as an Assistant Professor in the Department of Computer Science and Engineering at Birla Institute of Technology, Mesra, Ranchi, India. She has published research papers in esteemed jou.
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2012
ISBN 10: 3659287318 ISBN 13: 9783659287312
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 49,59
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Reinforcement learning has received much attention in the past decades. The three forms of reinforcement learning algorithms are Actor Critic learning, Q learning and Reinforcement Comparison. Q-learning is a form of model-free reinforcement learning with one drawback that is the overestimation (Rising Q) problem. To solve this problem Rough Sets approach is used. This has lead to the modification of the traditional Q learning algorithms to a new form of Q learning namely, Rough Q learning. Actor Critic Learning have a separate memory structure to explicitly represent the policy independent of the value function. Another form of reinforcement learning is Reinforcement Comparison. Using reinforcement comparison method (RC), a reference reward is equated with an average of previously received rewards. The Actor Critic and RC method is also made better by using the rough set approach. The results of the study are in form of various plots for all three forms of reinforcement learning, their variations and the effect of temperature on them.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 126,26
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer International Publishing, Springer Nature Switzerland Jan 2021, 2021
ISBN 10: 3030411877 ISBN 13: 9783030411879
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 160,49
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences. Special emphasis is placed on advanced ideas, algorithms, methods, and applications. The contributed papers gathered here grew out of a lecture course on reinforcement learning held by Prof. Jan Peters in the winter semester 2018/2019 at Technische Universität Darmstadt. The book is intended for reinforcement learning students and researchers with a firm grasp of linear algebra, statistics, and optimization. Nevertheless, all key concepts are introduced in each chapter, making the content self-contained and accessible to a broader audience. 216 pp. Englisch.
Idioma: Inglés
Publicado por Springer International Publishing, Springer Nature Switzerland Jan 2022, 2022
ISBN 10: 3030411907 ISBN 13: 9783030411909
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 160,49
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences. Special emphasis is placed on advanced ideas, algorithms, methods, and applications. The contributed papers gathered here grew out of a lecture course on reinforcement learning held by Prof. Jan Peters in the winter semester 2018/2019 at Technische Universität Darmstadt. The book is intended for reinforcement learning students and researchers with a firm grasp of linear algebra, statistics, and optimization. Nevertheless, all key concepts are introduced in each chapter, making the content self-contained and accessible to a broader audience. 216 pp. Englisch.
Idioma: Inglés
Publicado por Springer International Publishing, 2021
ISBN 10: 3030411877 ISBN 13: 9783030411879
Librería: moluna, Greven, Alemania
EUR 136,16
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Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides recent research on reinforcement learning algorithms Presents the analysis and application alike Written by respected experts in the field Boris Belousov is a Ph.D. student at Technische.
Idioma: Inglés
Publicado por Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030411907 ISBN 13: 9783030411909
Librería: moluna, Greven, Alemania
EUR 136,16
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavior.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 202,47
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Añadir al carritoCondición: New. Print on Demand.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 206,43
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 218,63
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Añadir al carritoCondición: New. Print on Demand.
Idioma: Inglés
Publicado por Springer, Palgrave Macmillan Jan 2022, 2022
ISBN 10: 3030411907 ISBN 13: 9783030411909
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 160,49
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences. Special emphasis is placed on advanced ideas, algorithms, methods, and applications.The contributed papers gathered here grew out of a lecture course on reinforcement learning held by Prof. Jan Peters in the winter semester 2018/2019 at Technische Universität Darmstadt.The book is intended for reinforcement learning students and researchers with a firm grasp of linear algebra, statistics, and optimization. Nevertheless, all key concepts are introduced in each chapter, making the content self-contained and accessible to a broader audience.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 216 pp. Englisch.
Idioma: Inglés
Publicado por Springer, Palgrave Macmillan Jan 2021, 2021
ISBN 10: 3030411877 ISBN 13: 9783030411879
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 160,49
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences. Special emphasis is placed on advanced ideas, algorithms, methods, and applications.The contributed papers gathered here grew out of a lecture course on reinforcement learning held by Prof. Jan Peters in the winter semester 2018/2019 at Technische Universität Darmstadt.The book is intended for reinforcement learning students and researchers with a firm grasp of linear algebra, statistics, and optimization. Nevertheless, all key concepts are introduced in each chapter, making the content self-contained and accessible to a broader audience.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 216 pp. Englisch.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 221,63
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.