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ABIALS
2008
Springer
16 years 1 months ago
A Two-Level Model of Anticipation-Based Motor Learning for Whole Body Motion
Abstract. We present a model of motor learning based on a combination of Operational Space Control and Optimal Control. Anticipatory processes are used both in the learning of the ...
Camille Salaün, Vincent Padois, Olivier Sigau...
IROS
2007
IEEE
144views Robotics» more  IROS 2007»
16 years 1 months ago
Using reinforcement learning to adapt an imitation task
Abstract— The goal of developing algorithms for programming robots by demonstration is to create an easy way of programming robots that can be accomplished by everyone. When a de...
Florent Guenter, Aude Billard
HICSS
2006
IEEE
86views Biometrics» more  HICSS 2006»
16 years 1 months ago
How Voluntary Online Learning Communities Emerge in Blended Courses
A comparative case study used content analysis to observe the emergence of voluntary online learning communities in two blended courses. The study developed an interaction-based a...
Robert Heckman, Qing Li, Xue Xiao
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
15 years 11 months ago
Evolution, development and learning using self-modifying cartesian genetic programming
Self-Modifying Cartesian Genetic Programming (SMCGP) is a form of genetic programming that integrates developmental (self-modifying) features as a genotype-phenotype mapping. This...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
ISMIS
1999
Springer
15 years 11 months ago
Learning English Grapheme Segmentation Using the Iterated Version Space Algorithm
Abstract. Our unique approach for learning English grapheme segmentation (LE-GS) rules using the Iterated Version Space Algorithm (IVSA) is presented. After de ning the problem and...
Jianna Jian Zhang, Howard J. Hamilton, Nick Cercon...