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121
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ATAL
2008
Springer
15 years 4 months ago
2008
Springer
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
119
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
106
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ICNP
2003
IEEE
15 years 7 months ago
2003
IEEE
CAMs are the most popular practical method for implementing packet classification in high performance routers. Their principal drawbacks are high power consumption and inefficient...
106
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ICRA
2010
IEEE
15 years 24 days ago
2010
IEEE
— We consider the problem of grasping novel objects and its application to cleaning a desk. A recent successful approach applies machine learning to learn one grasp point in an i...
134
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...