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ECAI
2006
Springer
13 years 11 months ago
Learning by Automatic Option Discovery from Conditionally Terminating Sequences
Abstract. This paper proposes a novel approach to discover options in the form of conditionally terminating sequences, and shows how they can be integrated into reinforcement learn...
Sertan Girgin, Faruk Polat, Reda Alhajj
JUCS
2010
152views more  JUCS 2010»
13 years 6 months ago
Introducing Living Lab's Method as Knowledge Transfer from one Socio-Institutional Context to another: Evidence from Helsinki-Ta
: The present article aims to describe the Living Lab’s method as a method innovation in institutional activities and the problems of taking this innovation into use. Possibiliti...
Katri-Liis Lepik, Merle Krigul, Erik Terk
ICNC
2005
Springer
14 years 1 months ago
On Non-markovian Topographic Organization of Receptive Fields in Recursive Self-organizing Map
Abstract. Recently, there has been an outburst of interest in extending topographic maps of vectorial data to more general data structures, such as sequences or trees. The represen...
Peter Tiño, Igor Farkas
ESANN
2008
13 years 9 months ago
Learning to play Tetris applying reinforcement learning methods
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
Alexander Groß, Jan Friedland, Friedhelm Sch...
CVPR
2010
IEEE
14 years 4 months ago
Learning to Recognize Shadows in Monochromatic Natural Images
This paper addresses the problem of recognizing shadows from monochromatic natural images. Without chromatic information, shadow classification is very challenging because the in...
Jiejie Zhu, Kegan Samuel, Syed Zain Masood, Marsha...