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» Learning Behavior Models for Hybrid Timed Systems
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81
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CIMCA
2005
IEEE
15 years 6 months ago
Hybrid Neural Networks for Immunoinformatics
Hybrid set of optimally trained feed-forward, Hopfield and Elman neural networks were used as computational tools and were applied to immunoinformatics. These neural networks ena...
Khrizel B. Solano, Tolja Djekovic, Mohamed Zohdy
CDC
2010
IEEE
170views Control Systems» more  CDC 2010»
14 years 7 months ago
Motion planning with hybrid dynamics and temporal goals
In this paper, we consider the problem of motion planning for mobile robots with nonlinear hybrid dynamics, and high-level temporal goals. We use a multi-layered synergistic framew...
Amit Bhatia, Lydia E. Kavraki, Moshe Y. Vardi
ROMAN
2007
IEEE
173views Robotics» more  ROMAN 2007»
15 years 6 months ago
Human-Robot Interactions as a Cognitive Catalyst for the Learning of Behavioral Attractors
— We address in this paper the problem of the autonomous online learning of a sensory-motor task, demonstrated by an operator guiding the robot. For the last decade, we have deve...
Christophe Giovannangeli, Philippe Gaussier
122
Voted
AR
2008
118views more  AR 2008»
15 years 19 days ago
Efficient Behavior Learning Based on State Value Estimation of Self and Others
The existing reinforcement learning methods have been seriously suffering from the curse of dimension problem especially when they are applied to multiagent dynamic environments. ...
Yasutake Takahashi, Kentarou Noma, Minoru Asada
FORMATS
2007
Springer
15 years 4 months ago
Combining Formal Verification with Observed System Execution Behavior to Tune System Parameters
Resource limited DRE (Distributed Real-time Embedded) systems can benefit greatly from dynamic adaptation of system parameters. We propose a novel approach that employs iterative t...
Minyoung Kim, Mark-Oliver Stehr, Carolyn L. Talcot...