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IROS
2007
IEEE
144views Robotics» more  IROS 2007»
16 years 18 days 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
EUSFLAT
2001
144views Fuzzy Logic» more  EUSFLAT 2001»
15 years 7 months ago
Adaptive torque control using a connectionist reinforcement learning agent
The correction of angular misalignment between mating components is a fundamental requirement for their successful assembly. In this paper we present how a learning agent based on...
Lorenzo Brignone, Martin Howarth, S. Sivayoganatha...
ICPR
2000
IEEE
15 years 10 months ago
Realtime Online Adaptive Gesture Recognition
We introduce an online adaptive algorithm for learning gesture models. By learning gesture models in an online fashion, the gesture recognition process is made more robust, and th...
Andrew D. Wilson, Aaron F. Bobick
AH
2000
Springer
15 years 10 months ago
Coherence in Modularly Composed Adaptive Learning Documents
Abstract. In this paper we suggest the Multibook approach how the gap between adaptivity and readability can be diminished. We show how a knowledge base has to be described by meta...
Cornelia Seeberg, Achim Steinacker, Ralf Steinmetz
NPL
2006
172views more  NPL 2006»
15 years 6 months ago
Adapting RBF Neural Networks to Multi-Instance Learning
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
Min-Ling Zhang, Zhi-Hua Zhou