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» Learning the required number of agents for complex tasks
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COCO
2001
Springer
149views Algorithms» more  COCO 2001»
14 years 11 days ago
Quantum versus Classical Learnability
Motivated by recent work on quantum black-box query complexity, we consider quantum versions of two wellstudied models of learning Boolean functions: Angluin’s model of exact le...
Rocco A. Servedio, Steven J. Gortler
ICPR
2006
IEEE
14 years 9 months ago
Bayesian Imitation of Human Behavior in Interactive Computer Games
Modern interactive computer games provide the ability to objectively record complex human behavior, offering a variety of interesting challenges to the pattern-recognition communi...
Bernard Gorman, Christian Bauckhage, Christian Thu...
TSMC
2008
132views more  TSMC 2008»
13 years 7 months ago
Ensemble Algorithms in Reinforcement Learning
This paper describes several ensemble methods that combine multiple different reinforcement learning (RL) algorithms in a single agent. The aim is to enhance learning speed and fin...
Marco A. Wiering, Hado van Hasselt
BMCBI
2011
13 years 2 months ago
An Agent-Based Model to study the epidemiological and evolutionary dynamics of Influenza viruses
Background: Influenza A viruses exhibit complex epidemiological patterns in a number of mammalian and avian hosts. Understanding transmission of these viruses necessitates taking ...
Benjamin Roche, John M. Drake, Pejman Rohani
ECTEL
2007
Springer
14 years 2 months ago
Smart Indicators on Learning Interactions
Indicators help actors to organise, orientate and navigate through complex environments by providing contextual information relevant for the performance of learning tasks. In this ...
Christian Glahn, Marcus Specht, Rob Koper