1799 search results - page 226 / 360 » Filtered Reinforcement Learning |
134
Voted
ICML
1999
IEEE
16 years 3 months ago
1999
IEEE
Many interesting problems, such as power grids, network switches, and tra c ow, that are candidates for solving with reinforcement learningRL, alsohave properties that make distri...
124
Voted
ICRA
2007
IEEE
15 years 9 months ago
2007
IEEE
Abstract— Particle filters have been applied with great success to various state estimation problems in robotics. However, particle filters often require extensive parameter tw...
152
Voted
TNN
2011
14 years 9 months ago
2011
—This paper proposes a feature extraction method for motor imagery brain–computer interface (BCI) using electroencephalogram. We consider the primary neurophysiologic phenomeno...
148
Voted
SDM
2012
SIAM
13 years 5 months ago
2012
SIAM
: Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
108
Voted
ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
In this paper we present a simple to implement truly online large margin version of the Perceptron ranking (PRank) algorithm, called the OAP-BPM (Online Aggregate Prank-Bayes Poin...