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111
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ENGL
2007
15 years 3 months ago
2007
An uncertainty model for an expensive function greatly improves the effectiveness of a design decision based on the use of a less accurate function. In this paper, we propose a met...
136
Voted
ICRA
2007
IEEE
15 years 9 months ago
2007
IEEE
— The least squares approach works efficiently in value function approximation, given appropriate basis functions. Because of its smoothness, the Gaussian kernel is a popular an...
109
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MST
2006
15 years 3 months ago
2006
The "regularity" of a Boolean function can be exploited for decreasing its minimization time. It has already been shown that the notion of autosymmetry is a valid measure...
97
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
146
Voted
ICASSP
2007
IEEE
15 years 10 months ago
2007
IEEE
This paper presents a novel classification strategy for 3D objects. Our technique is based on using a Global Geodesic Function to intrinsically describe the surface ofan object. T...