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» Learning for Dynamic Subsumption
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127
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IJCNN
2006
IEEE
15 years 8 months ago
Reinforcement Learning Control for Biped Robot Walking on Uneven Surfaces
— Biped robots based on the concept of (passive) dynamic walking are far simpler than the traditional fullycontrolled walking robots, while achieving a more natural gait and cons...
Shouyi Wang, Jelmer Braaksma, Robert Babuska, Daan...
130
Voted
ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
15 years 8 months ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar
152
Voted
NN
2010
Springer
225views Neural Networks» more  NN 2010»
15 years 29 days ago
Learning to imitate stochastic time series in a compositional way by chaos
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
Jun Namikawa, Jun Tani
100
Voted
WWW
2004
ACM
16 years 3 months ago
Active e-course for constructivist learning
An active e-course is a self-representable and self-organizable document mechanism with a flexible structure. The kernel of the active e-course is to organize learning materials i...
Hai Zhuge, Yanyan Li
116
Voted
ECTEL
2006
Springer
15 years 6 months ago
The L2C Project: Learning to Collaborate Through Advanced SmallWorld Simulations
Abstract. L2C - Learning to Collaborate - is an ongoing research project addressing the design of effective immersive simulation-based learning experiences supporting the developme...
Albert A. Angehrn, Thierry Nabeth