Qualitative Spatial Abstraction in Reinforcement Learning
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…
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Produktdetails
- ISBN: 978-3-642-16590-0
- EAN: 9783642165900
- Produktnummer: 18253544
- Verlag: Springer
- Sprache: Englisch
- Erscheinungsjahr: 2010
- Seitenangabe: 174 S.
- Plattform: PDF
- Masse: 14'072 KB
Über den Autor
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.
2 weitere Werke von Lutz Frommberger:
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