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» Efficient learning algorithms for changing environments
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ICC
2007
IEEE
120views Communications» more  ICC 2007»
15 years 10 months ago
Dynamic Network Selection using Kernels
—We present a new algorithm for vertical handover and dynamic network selection, based on a combination of multiattribute utility theory, kernel learning and stochastic gradient ...
Eric van den Berg, Praveen Gopalakrishnan, Byungsu...
ECCV
2004
Springer
16 years 6 months ago
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
David A. Ross, Jongwoo Lim, Ming-Hsuan Yang
IJRR
2008
186views more  IJRR 2008»
15 years 4 months ago
Automated Design of Adaptive Controllers for Modular Robots using Reinforcement Learning
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
Paulina Varshavskaya, Leslie Pack Kaelbling, Danie...
CIA
2004
Springer
15 years 7 months ago
Auction Equilibrium Strategies for Task Allocation in Uncertain Environments
Abstract. In this paper we address a model of self interested information agents competing to perform tasks. The agents are situated in an uncertain environment while different tas...
David Sarne, Meirav Hadad, Sarit Kraus
ICRA
2010
IEEE
170views Robotics» more  ICRA 2010»
15 years 2 months ago
Robust vehicle localization in urban environments using probabilistic maps
— Autonomous vehicle navigation in dynamic urban environments requires localization accuracy exceeding that available from GPS-based inertial guidance systems. We have shown prev...
Jesse Levinson, Sebastian Thrun