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» Explanation-Based Neural Network Learning for Robot Control
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GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 4 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
ICRA
2005
IEEE
102views Robotics» more  ICRA 2005»
15 years 5 months ago
Hand Force Estimation using Electromyography Signals
— In many studies and applications that include direct human involvement such as human-robot interaction, control of prosthetic arms, and human factor studies, hand force is need...
Farid Mobasser, Keyvan Hashtrudi-Zaad
IJCNN
2008
IEEE
15 years 6 months ago
Uncertainty propagation for quality assurance in Reinforcement Learning
— In this paper we address the reliability of policies derived by Reinforcement Learning on a limited amount of observations. This can be done in a principled manner by taking in...
Daniel Schneegaß, Steffen Udluft, Thomas Mar...
TNN
1998
100views more  TNN 1998»
14 years 11 months ago
A dynamical system perspective of structural learning with forgetting
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
D. A. Miller, J. M. Zurada
SCAI
2008
15 years 1 months ago
Sharing Moral Responsibility with Robots: A Pragmatic Approach
Roboethics is a recently developed field of applied ethics which deals with the ethical aspects of technologies such as robots, ambient intelligence, direct neural interfaces and i...
Gordana Dodig-Crnkovic, Daniel Persson