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SGAI
2004
Springer
16 years 1 days ago
Interactive Selection of Visual Features through Reinforcement Learning
We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...
Sébastien Jodogne, Justus H. Piater
ICRA
1999
IEEE
122views Robotics» more  ICRA 1999»
15 years 11 months ago
Learning Visual Landmarks for Pose Estimation
Abstract-- We present an approach to vision-based mobile robot localization, even without an a-priori pose estimate. This is accomplished by learning a set of visual features calle...
Robert Sim, Gregory Dudek
IEAAIE
1998
Springer
15 years 11 months ago
A Combined Probabilistic Framework for Learning Gestures and Actions
Abstract. In this paper we introduce a probabilistic approach to support visual supervision and gesture recognition. Task knowledge is both of geometric and visual nature and it is...
Francisco Escolano, Miguel Cazorla, Domingo Gallar...
ICANN
2009
Springer
15 years 10 months ago
Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
Alexander Hans, Steffen Udluft
ITS
2000
Springer
112views Multimedia» more  ITS 2000»
15 years 10 months ago
Model of an Adaptive Support Interface for Distance Learning
We developed a distributed support model in an interface for distant learning. The support is integrated into the ExploraGraph navigator which makes it possible to navigate through...
Aude Dufresne