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» Using model knowledge for learning inverse dynamics
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129
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ICRA
2009
IEEE
111views Robotics» more  ICRA 2009»
15 years 10 months ago
Model-based and model-free reinforcement learning for visual servoing
— To address the difficulty of designing a controller for complex visual-servoing tasks, two learning-based uncalibrated approaches are introduced. The first method starts by b...
Amir Massoud Farahmand, Azad Shademan, Martin J&au...
144
Voted
ICDM
2002
IEEE
143views Data Mining» more  ICDM 2002»
15 years 8 months ago
A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary Programming
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
Man Leung Wong, Shing Yan Lee, Kwong-Sak Leung
115
Voted
ALT
1999
Springer
15 years 8 months ago
PAC Learning with Nasty Noise
We introduce a new model for learning in the presence of noise, which we call the Nasty Noise model. This model generalizes previously considered models of learning with noise. Th...
Nader H. Bshouty, Nadav Eiron, Eyal Kushilevitz
114
Voted
HUC
2003
Springer
15 years 9 months ago
Inferring High-Level Behavior from Low-Level Sensors
Abstract. We present a method of learning a Bayesian model of a traveler moving through an urban environment. This technique is novel in that it simultaneously learns a unified mo...
Donald J. Patterson, Lin Liao, Dieter Fox, Henry A...
121
Voted
CN
2006
75views more  CN 2006»
15 years 3 months ago
Dynamic online QoS routing schemes: Performance and bounds
Several dynamic QoS routing techniques have been recently proposed for new IP networks based on label forwarding. However, no extensive performance evaluation and comparison is av...
Antonio Capone, Luigi Fratta, Fabio Martignon