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Published by Springer, 2018
ISBN 10: 3319768913ISBN 13: 9783319768915
Seller: booksXpress, Bayonne, NJ, U.S.A.
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Published by Springer, 2018
ISBN 10: 3319768913ISBN 13: 9783319768915
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ISBN 10: 3319768913ISBN 13: 9783319768915
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Published by Springer International Publishing Feb 2018, 2018
ISBN 10: 3319768913ISBN 13: 9783319768915
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book contains a selection of the best papers of the 29th Benelux Conference on Artificial Intelligence, BNAIC 2017, held in Groningen, The Netherlands, in November 2017.The 11 full papers presented in this volume were carefully reviewed and selected from 30 submissions. They address various aspects of artificial intelligence such as natural language processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis. 176 pp. Englisch.
Published by Springer-Verlag New York Inc, 2018
ISBN 10: 3319768913ISBN 13: 9783319768915
Seller: Revaluation Books, Exeter, United Kingdom
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Paperback. Condition: Brand New. revised edition. 160 pages. 9.25x6.10x0.40 inches. In Stock.
Published by Springer International Publishing, 2018
ISBN 10: 3319768913ISBN 13: 9783319768915
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains a selection of the best papers of the 29th Benelux Conference on Artificial Intelligence, BNAIC 2017, held in Groningen, The Netherlands, in November 2017.The 11 full papers presented in this volume were carefully reviewed and selected from 30 submissions. They address various aspects of artificial intelligence such as natural language processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis.
Published by Springer International Publishing, 2018
ISBN 10: 3319768913ISBN 13: 9783319768915
Seller: moluna, Greven, Germany
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book contains a selection of the best papers of the 29th Benelux Conference on Artificial Intelligence, BNAIC 2017, held in Groningen, The Netherlands, in November 2017. The 11 full papers presented in this volume were carefully reviewed and s.
Published by Springer, 2018
ISBN 10: 3319768913ISBN 13: 9783319768915
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Published by Springer, 2023
ISBN 10: 364227644XISBN 13: 9783642276446
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Published by Springer, 2014
ISBN 10: 364244685XISBN 13: 9783642446856
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Published by Springer, 2014
ISBN 10: 364244685XISBN 13: 9783642446856
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Published by Springer, 2014
ISBN 10: 364244685XISBN 13: 9783642446856
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Published by Springer, 2014
ISBN 10: 364244685XISBN 13: 9783642446856
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Published by Springer, 2014
ISBN 10: 364244685XISBN 13: 9783642446856
Seller: booksXpress, Bayonne, NJ, U.S.A.
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ISBN 10: 364244685XISBN 13: 9783642446856
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Published by Springer, 2012
ISBN 10: 364227644XISBN 13: 9783642276446
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ISBN 10: 364227644XISBN 13: 9783642276446
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Published by Springer, 2012
ISBN 10: 364227644XISBN 13: 9783642276446
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Published by Springer, 2014
ISBN 10: 364244685XISBN 13: 9783642446856
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Published by Springer, 2014
ISBN 10: 364244685XISBN 13: 9783642446856
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Published by Springer, 2014
ISBN 10: 364244685XISBN 13: 9783642446856
Seller: GF Books, Inc., Hawthorne, CA, U.S.A.
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Condition: Very Good. Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting.
Published by Springer Berlin Heidelberg, 2012
ISBN 10: 364227644XISBN 13: 9783642276446
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers all important recent developments in reinforcement learningVery good introduction and explanation of the different emerging areas in Reinforcement LearningIncludes a survey of previous papers written on the topicCo.
Published by Springer Berlin Heidelberg, 2014
ISBN 10: 364244685XISBN 13: 9783642446856
Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers all important recent developments in reinforcement learningVery good introduction and explanation of the different emerging areas in Reinforcement LearningIncludes a survey of previous papers written on the topicCo.
Published by Springer, 2014
ISBN 10: 364244685XISBN 13: 9783642446856
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Published by Springer, 2012
ISBN 10: 364227644XISBN 13: 9783642276446
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Published by Springer, 2012
ISBN 10: 364227644XISBN 13: 9783642276446
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Published by Springer Berlin Heidelberg Apr 2014, 2014
ISBN 10: 364244685XISBN 13: 9783642446856
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the past decade.The main goal of this book is to present an up-to-date series of survey articles on the main contemporary sub-fields of reinforcement learning. This includes surveys on partially observable environments, hierarchical task decompositions, relational knowledge representation and predictive state representations. Furthermore, topics such as transfer, evolutionary methods and continuous spaces in reinforcement learning are surveyed. In addition, several chapters review reinforcement learning methods in robotics, in games, and in computational neuroscience. In total seventeen different subfields are presented by mostly young experts in those areas, and together they truly represent a state-of-the-art of current reinforcement learning research.Marco Wiering works at the artificial intelligence department of the University of Groningen in the Netherlands. He has published extensively on various reinforcement learning topics. Martijn van Otterlo works in the cognitive artificial intelligence group at the Radboud University Nijmegen in The Netherlands. He has mainly focused on expressive knowledgerepresentation in reinforcement learning settings. 672 pp. Englisch.
Published by Springer Berlin Heidelberg Mrz 2012, 2012
ISBN 10: 364227644XISBN 13: 9783642276446
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Book Print on Demand
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the past decade.The main goal of this book is to present an up-to-date series of survey articles on the main contemporary sub-fields of reinforcement learning. This includes surveys on partially observable environments, hierarchical task decompositions, relational knowledge representation and predictive state representations. Furthermore, topics such as transfer, evolutionary methods and continuous spaces in reinforcement learning are surveyed. In addition, several chapters review reinforcement learning methods in robotics, in games, and in computational neuroscience. In total seventeen different subfields are presented by mostly young experts in those areas, and together they truly represent a state-of-the-art of current reinforcement learning research.Marco Wiering works at the artificial intelligence department of the University of Groningen in the Netherlands. He has published extensively on various reinforcement learning topics. Martijn van Otterlo works in the cognitive artificial intelligence group at the Radboud University Nijmegen in The Netherlands. He has mainly focused on expressive knowledgerepresentation in reinforcement learning settings. 672 pp. Englisch.
Published by Springer Berlin Heidelberg, 2014
ISBN 10: 364244685XISBN 13: 9783642446856
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the past decade.The main goal of this book is to present an up-to-date series of survey articles on the main contemporary sub-fields of reinforcement learning. This includes surveys on partially observable environments, hierarchical task decompositions, relational knowledge representation and predictive state representations. Furthermore, topics such as transfer, evolutionary methods and continuous spaces in reinforcement learning are surveyed. In addition, several chapters review reinforcement learning methods in robotics, in games, and in computational neuroscience. In total seventeen different subfields are presented by mostly young experts in those areas, and together they truly represent a state-of-the-art of current reinforcement learning research.Marco Wiering works at the artificial intelligence department of the University of Groningen in the Netherlands. He has published extensively on various reinforcement learning topics. Martijn van Otterlo works in the cognitive artificial intelligence group at the Radboud University Nijmegen in The Netherlands. He has mainly focused on expressive knowledgerepresentation in reinforcement learning settings.
Published by Springer Berlin Heidelberg, 2012
ISBN 10: 364227644XISBN 13: 9783642276446
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the past decade.The main goal of this book is to present an up-to-date series of survey articles on the main contemporary sub-fields of reinforcement learning. This includes surveys on partially observable environments, hierarchical task decompositions, relational knowledge representation and predictive state representations. Furthermore, topics such as transfer, evolutionary methods and continuous spaces in reinforcement learning are surveyed. In addition, several chapters review reinforcement learning methods in robotics, in games, and in computational neuroscience. In total seventeen different subfields are presented by mostly young experts in those areas, and together they truly represent a state-of-the-art of current reinforcement learning research.Marco Wiering works at the artificial intelligence department of the University of Groningen in the Netherlands. He has published extensively on various reinforcement learning topics. Martijn van Otterlo works in the cognitive artificial intelligence group at the Radboud University Nijmegen in The Netherlands. He has mainly focused on expressive knowledgerepresentation in reinforcement learning settings.