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» Relational Learning by Imitation
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95
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ICML
2006
IEEE
16 years 1 months ago
Autonomous shaping: knowledge transfer in reinforcement learning
We introduce the use of learned shaping rewards in reinforcement learning tasks, where an agent uses prior experience on a sequence of tasks to learn a portable predictor that est...
George Konidaris, Andrew G. Barto
108
Voted
IJDET
2010
130views more  IJDET 2010»
14 years 10 months ago
A Unified Learning Style Model for Technology-Enhanced Learning: What, Why and How?
: This paper deals with the use of learning styles in technology-enhanced learning, by introducing a so-called "Unified Learning Style Model" (ULSM). The article aims at ...
Elvira Popescu
117
Voted
ICML
2005
IEEE
16 years 1 months ago
Learning Gaussian processes from multiple tasks
We consider the problem of multi-task learning, that is, learning multiple related functions. Our approach is based on a hierarchical Bayesian framework, that exploits the equival...
Kai Yu, Volker Tresp, Anton Schwaighofer
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 3 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
102
Voted
IUI
2000
ACM
15 years 5 months ago
APE: learning user's habits to automate repetitive tasks
The APE (Adaptive Programming Environment) project focuses on applying Machine Learning techniques to embed a software assistant into the VisualWorks Smalltalk interactive program...
Jean-David Ruvini, Christophe Dony