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TSMC
2002
105views more  TSMC 2002»
13 years 7 months ago
V-Lab-a virtual laboratory for autonomous agents-SLA-based learning controllers
In this paper, we present the use of stochastic learning automata (SLA) in mutliagent robotics. In order to fully utilize and implement learning control algorithms in the control o...
Aly I. El-Osery, John Burge, Mohammad Jamshidi, An...
CPHYSICS
2010
135views more  CPHYSICS 2010»
13 years 8 months ago
An events based algorithm for distributing concurrent tasks on multi-core architectures
In this paper, a programming model is presented which enables scalable parallel performance on multi-core shared memory architectures. The model has been developed for application...
David W. Holmes, John R. Williams, Peter Tilke
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
14 years 2 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
ICML
1996
IEEE
14 years 9 months ago
Representing and Learning Quality-Improving Search Control Knowledge
Generating good, production-quality plans is an essential element in transforming planners from research tools into real-world applications, but one that has been frequently overl...
M. Alicia Pérez
ACL
2007
13 years 9 months ago
Classifying Temporal Relations Between Events
This paper describes a fully automatic twostage machine learning architecture that learns temporal relations between pairs of events. The first stage learns the temporal attribut...
Nathanael Chambers, Shan Wang, Daniel Jurafsky