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Robot Learning (The Springer International Series in Engineering and Computer Science, 233) - Hardcover
Synopsis
Building a robot that learns to perform a task has been acknowledged as one of the major challenges facing artificial intelligence. Self-improving robots would relieve humans from much of the drudgery of programming and would potentially allow operation in environments that were changeable or only partially known. Progress towards this goal would also make fundamental contributions to artificial intelligence by furthering our understanding of how to successfully integrate disparate abilities such as perception, planning, learning and action.
Although its roots can be traced back to the late fifties, the area of robot learning has lately seen a resurgence of interest. The flurry of interest in robot learning has partly been fueled by exciting new work in the areas of reinforcement earning, behavior-based architectures, genetic algorithms, neural networks and the study of artificial life. Robot Learning gives an overview of some of the current research projects in robot learning being carried out at leading universities and research laboratories in the United States. The main research directions in robot learning covered in this book include: reinforcement learning, behavior-based architectures, neural networks, map learning, action models, navigation and guided exploration.
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ROBOT LEARNING: a volume in the International Series in Engineering and Computer Science, Knowledge Representation, Learning and Expert Systems.
Published by
Kluwer Academic Publishers, Boston, 1993
ISBN 10: 0792393651
ISBN 13: 9780792393658
Used
Hardcover
Seller: SUNSET BOOKS 2, Newark, OH, U.S.A.
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Hardcover. Condition: Very Good. No Jacket. First. 240pp. W/full markings, pocket, and/or bookplate. Weight is 2 lb. Ex-Library Size: 8vo. Book. Seller Inventory # 016174
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Robot Learning (The Springer International Series in Engineering and Computer Science, 233)
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Hardcover. Condition: Très bon. Ancien livre de bibliothèque. Edition 1993. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1993. Ammareal gives back up to 15% of this item's net price to charity organizations. Seller Inventory # F-933-943
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Robot Learning
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Robot Learning (Hardcover)
Published by
Kluwer Academic Publishers, Dordrecht, 1993
ISBN 10: 0792393651
ISBN 13: 9780792393658
New
Hardcover
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. Building a robot that learns to perform a task has been acknowledged as one of the major challenges facing artificial intelligence. Self-improving robots would relieve humans of much of the drudgery of programming and would potentially allow operation in environments that were changeable or only partially known. Progress towards this goal would also make fundamental contributions to artificial intelligence by furthering our understanding of how to successfully integrate disparate abilities such as perception, planning, learning and action. Although its roots can be traced back to the late 1950s, the area of robot learning has lately seen a resurgence of interest. The flurry of interest in robot learning has partly been fuelled by recent work in the areas of reinforcement earning, behaviour-based architectures, genetic algorithms, neural networks and the study of artificial life. This book gives an overview of some of the current research projects in robot learning being carried out at leading universities and research laboratories in the United States.The main research directions in robot learning covered in the book include: reinforcement learning; behaviour-based architectures; neural networks; map learning; action models; navigation; and guided exploration. The main research directions in robot learning covered in this book include: reinforcement learning, behavior-based architectures, neural networks, map learning, action models, navigation and guided exploration. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780792393658
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Robot Learning (The Springer International Series in Engineering and Computer Science, 233)
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Robot Learning (The Springer International Series in Engineering and Computer Science, 233)
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Robot Learning
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Robot Learning
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Building a robot that learns to perform a task has been acknowledged as one of the major challenges facing artificial intelligence. Self-improving robots would relieve humans from much of the drudgery of programming and would potentially allow operation in environments that were changeable or only partially known. Progress towards this goal would also make fundamental contributions to artificial intelligence by furthering our understanding of how to successfully integrate disparate abilities such as perception, planning, learning and action. Although its roots can be traced back to the late fifties, the area of robot learning has lately seen a resurgence of interest. The flurry of interest in robot learning has partly been fueled by exciting new work in the areas of reinforcement earning, behavior-based architectures, genetic algorithms, neural networks and the study of artificial life. Robot Learning gives an overview of some of the current research projects in robot learning being carried out at leading universities and research laboratories in the United States. The main research directions in robot learning covered in this book include: reinforcement learning, behavior-based architectures, neural networks, map learning, action models, navigation and guided exploration. 260 pp. Englisch. Seller Inventory # 9780792393658
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Robot Learning
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Building a robot that learns to perform a task has been acknowledged as one of the major challenges facing artificial intelligence. Self-improving robots would relieve humans from much of the drudgery of programming and would potentially allow operation . Seller Inventory # 5971437
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Robot Learning
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Condition: New. pp. 260. Seller Inventory # 263063817
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