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» Learning for control from multiple demonstrations
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ECCV
2004
Springer
15 years 11 months ago
Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
Jason Meltzer, Ming-Hsuan Yang, Rakesh Gupta, Stef...
ICRA
2009
IEEE
259views Robotics» more  ICRA 2009»
15 years 4 months ago
Constructing action set from basis functions for reinforcement learning of robot control
Abstract— Continuous action sets are used in many reinforcement learning (RL) applications in robot control since the control input is continuous. However, discrete action sets a...
Akihiko Yamaguchi, Jun Takamatsu, Tsukasa Ogasawar...
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen
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GLOBECOM
2010
IEEE
14 years 7 months ago
Large File Transfers from Space Using Multiple Ground Terminals and Delay-Tolerant Networking
We use Delay-Tolerant Networking (DTN) to break control loops between space-ground communication links and ground-ground communication links to increase overall file delivery effic...
William D. Ivancic, Phillip Paulsen, Dave Stewart,...
HYBRID
1998
Springer
15 years 1 months ago
Large Patterns Make Great Symbols: An Example of Learning from Example
We look at distributed representation of structure with variable binding, that is natural for neural nets and allows traditional symbolic representation and processing. The repres...
Pentti Kanerva