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ATAL
2005
Springer
14 years 1 months ago
Multi-agent reward analysis for learning in noisy domains
In many multi agent learning problems, it is difficult to determine, a priori, the agent reward structure that will lead to good performance. This problem is particularly pronoun...
Adrian K. Agogino, Kagan Tumer
MMM
2003
Springer
166views Multimedia» more  MMM 2003»
14 years 1 months ago
Emotional Communication with Virtual Humans
In this paper, we present our approach to modelling perceptive 3D virtual characters with emotion and personality. The characters are powered by a dialogue system that consists of...
Arjan Egges, Sumedha Kshirsagar, Xuan Zhang, Nadia...
BMCBI
2010
100views more  BMCBI 2010»
13 years 8 months ago
A robust method for estimating gene expression states using Affymetrix microarray probe level data
Background: Microarray technology is a high-throughput method for measuring the expression levels of thousand of genes simultaneously. The observed intensities combine a non-speci...
Megu Ohtaki, Keiko Otani, Keiko Hiyama, Naomi Kame...
PE
2000
Springer
118views Optimization» more  PE 2000»
13 years 7 months ago
A probabilistic dynamic technique for the distributed generation of very large state spaces
Conventional methods for state space exploration are limited to the analysis of small systems because they suffer from excessive memory and computational requirements. We have dev...
William J. Knottenbelt, Peter G. Harrison, Mark Me...
ICRA
2003
IEEE
110views Robotics» more  ICRA 2003»
14 years 1 months ago
Modelling of the human paralysed lower limb under FES
— The new generation of implanted neuroprostheses allows muscles to be controlled with fine accuracy, high selectivity and the repeatability of the muscle’s response can be ach...
David Guiraud, Philippe Poignet, Pierre-Brice Wieb...