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ICANN
2010
Springer
15 years 4 months ago
Reinforcement Learning Based Neural Controllers for Dynamic Processes without Exploration
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...
Frank-Florian Steege, André Hartmann, Erik ...
141
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AI
2002
Springer
15 years 3 months ago
A Constructive Approach to Parsing with Neural Networks - The Hybrid Connectionist Parsing Method
The concept of Dynamic Neural Networks (DNN) is a new approach within the Neural Network paradigm, which is based on the dynamic construction of Neural Networks during the processi...
Christel Kemke
136
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IROS
2008
IEEE
134views Robotics» more  IROS 2008»
15 years 10 months ago
Friction observer and compensation for control of robots with joint torque measurement
— In this paper we introduce a friction observer for robots with joint torque sensing (in particular for the DLR medical robot) in order to increase the positioning accuracy and ...
Luc Le Tien, Alin Albu-Schäffer, Alessandro D...
IJCNN
2007
IEEE
15 years 10 months ago
Enhanced Facilitatory Neuronal Dynamics for Delay Compensation
— Our earlier work has suggested that neuronal transmission delay may cause serious problems unless a compensation mechanism exists. In that work, facilitating neuronal dynamics ...
Jaerock Kwon, Yoonsuck Choe
135
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DAGSTUHL
2007
15 years 5 months ago
Image-Based Motion Compensation for Structured Light Scanning of Dynamic Surfaces
: Many structured light scanning systems based on temporal pattern codification produce dense and robust results on static scenes but behave very poorly when applied to dynamic sc...
Stefan Gumhold, Sören König