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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Informatik Qualitative Spatial Abstraction in Reinforcement Learning
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Qualitative Spatial Abstraction in Reinforcement Learning
Lutz Frommberger (Broschiert, Englisch)
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Beschreibung
Reinforcement learning has developed as a successful learning approach for domains that are not fully understood and that are too complex to be described in closed form. However, reinforcement learning does not scale well to large and continuous problems. Furthermore, acquired knowledge specific to the learned task, and transfer of knowledge to new tasks is crucial. In this book the author… investigates whether deficiencies of reinforcement learning can be overcome by suitable abstraction methods. He discusses various forms of spatial abstraction, in particular qualitative abstraction, a form of representing knowledge that has been thoroughly investigated and successfully applied in spatial cognition research. With his approach, he exploits spatial structures and structural similarity to support the learning process by abstracting from less important features and stressing the essential ones. The author demonstrates his learning approach and the transferability of knowledge by having his system learn in a virtual robot simulation system and consequently transfer the acquired knowledge to a physical robot. The approach is influenced by findings from cognitive science. The book is suitable for researchers working in artificial intelligence, in particular knowledge representation, learning, spatial cognition, and robotics. 106,99 €
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Technische Daten
Erscheinungsdatum
02.01.2013
Sprache
Englisch
EAN
9783642266003
Herausgeber
Springer Berlin
Serien- oder Bandtitel
Cognitive Technologies
Sonderedition
Nein
Autor
Lutz Frommberger
Seitenanzahl
174
Einbandart
Broschiert
Schlagwörter
Spatial Abstraction, State Space Representation, Temporal Abstraction, Transfer Learni, artificial intelligence, cognition, cognitive science, intelligence, knowledge, knowledge representation, learning, reinforcement learning, robot, robotics, simulation
Thema-Inhalt
UYQ - Künstliche Intelligenz
TJFM - Regelungstechnik
Höhe
235 mm
Breite
15.5 cm
Hersteller: Springer Nature Customer Service Center GmbH, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com
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