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TLT
2008
93views more  TLT 2008»
14 years 11 months ago
What Do You Prefer? Using Preferences to Enhance Learning Technology
While the growing number of learning resources increases the choice for learners on how, what and when to learn, it also makes it more and more difficult to find the learning resou...
Philipp Kärger, Daniel Olmedilla, Fabian Abel...
ATAL
2009
Springer
15 years 6 months ago
Generalized model learning for reinforcement learning in factored domains
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Todd Hester, Peter Stone
AAAI
2006
15 years 1 months ago
Action Selection in Bayesian Reinforcement Learning
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Tao Wang
UM
2005
Springer
15 years 5 months ago
Using Similarity to Infer Meta-cognitive Behaviors During Analogical Problem Solving
We present a computational framework designed to provide adaptive support aimed at triggering learning from problem-solving activities in the presence of worked-out examples. The k...
Kasia Muldner, Cristina Conati
ICCV
2001
IEEE
16 years 1 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black