Items related to Robot Learning: 233 (The Springer International Series...
Robot Learning: 233 (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.
"synopsis" may belong to another edition of this title.
Search results for Robot Learning: 233 (The Springer International Series...
Stock Image
Robot Learning (The Springer International Series in Engineering and Computer Science, 233)
Seller: Ammareal, Morangis, France
Seller rating 5 out of 5 stars
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
Quantity: 1 available
Stock Image
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.
Seller rating 5 out of 5 stars
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
Quantity: 1 available
Stock Image
Robot Learning (The Springer International Series in Engineering and Computer Science, 233)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9780792393658_new
Quantity: Over 20 available
Seller Image
Robot Learning
Print on DemandSeller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
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
Quantity: Over 20 available
Seller Image
Robot Learning
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 5230140-n
Quantity: 15 available
Stock Image
Robot Learning (The Springer International Series in Engineering and Computer Science, 233)
Seller: Best Price, Torrance, CA, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. SUPER FAST SHIPPING. Seller Inventory # 9780792393658
Quantity: 1 available
Seller Image
Robot Learning
Print on DemandSeller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
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
Quantity: 2 available
Seller Image
Robot Learning
Published by
Springer US, Springer US, 1993
ISBN 10: 0792393651
ISBN 13: 9780792393658
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9780792393658
Quantity: 1 available
Seller Image
Robot Learning
Published by
Springer US, Springer US Jun 1993, 1993
ISBN 10: 0792393651
ISBN 13: 9780792393658
New
Hardcover
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 260 pp. Englisch. Seller Inventory # 9780792393658
Quantity: 2 available
Seller Image
Robot Learning
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 5230140
Quantity: 15 available