Qualitative Spatial Abstraction in Reinforcement Learning by Lutz FrommbergerQualitative Spatial Abstraction in Reinforcement Learning by Lutz Frommberger

Qualitative Spatial Abstraction in Reinforcement Learning

byLutz Frommberger

Paperback | January 2, 2013

Pricing and Purchase Info

$182.19 online 
$191.95 list price save 5%
Earn 911 plum® points

Prices and offers may vary in store


In stock online

Ships free on orders over $25

Not available in stores


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.

Dr. Frommberger is a researcher in the Cognitive Systems Research Group (SFB/TR 8 Spatial Cognition) of Universität Bremen; his special areas of expertise are spatial abstraction techniques, efficient reinforcement learning, cognitive logistics and qualitative representations of space.
Title:Qualitative Spatial Abstraction in Reinforcement LearningFormat:PaperbackDimensions:174 pagesPublished:January 2, 2013Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642266002

ISBN - 13:9783642266003

Look for similar items by category:


Table of Contents

Foundations of Reinforcement Learning.- Abstraction and Knowledge Transfer in Reinforcement Learning.- Qualitative State Space Abstraction.- Generalization and Transfer Learning with Qualitative Spatial Abstraction.- RLPR - An Aspectualizable State Space Representation.- Empirical Evaluation.- Summary and Outlook.