1863 search results - page 176 / 373 » Multiagent learning using a variable learning rate |
209
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ETVC
2008
15 years 7 months ago
2008
In a seminal paper, Amari (1998) proved that learning can be made more efficient when one uses the intrinsic Riemannian structure of the algorithms' spaces of parameters to po...
177
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PAMI
1998
15 years 5 months ago
1998
—This paper concerns an efficient algorithm for learning in the limit a special type of regular languages called strictly locally testable languages from positive data, and its a...
155
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CVPR
2010
IEEE
16 years 2 months ago
2010
IEEE
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
162
Voted
ICML
2003
IEEE
15 years 11 months ago
2003
IEEE
Shaping can be an effective method for improving the learning rate in reinforcement systems. Previously, shaping has been heuristically motivated and implemented. We provide a for...
147
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AAAI
2010
15 years 7 months ago
2010
The aim of General Game Playing (GGP) is to create intelligent agents that can automatically learn how to play many different games at an expert level without any human interventi...