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» Modeling and Predicting Learning Behavior in MOOCs
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FLAIRS
2009
14 years 8 months ago
Beating the Defense: Using Plan Recognition to Inform Learning Agents
In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...
Matthew Molineaux, David W. Aha, Gita Sukthankar
AR
2002
157views more  AR 2002»
14 years 10 months ago
Acquiring state from control dynamics to learn grasping policies for robot hands
Abstract--A prominent emerging theory of sensorimotor development in biological systems proposes that control knowledge is encoded in the dynamics of physical interaction with the ...
Roderic A. Grupen, Jefferson A. Coelho Jr.
87
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IUI
2009
ACM
15 years 7 months ago
Learning to generalize for complex selection tasks
Selection tasks are common in modern computer interfaces: we are often required to select a set of files, emails, data entries, and the like. File and data browsers have sorting a...
Alan Ritter, Sumit Basu
JIRS
2000
144views more  JIRS 2000»
14 years 10 months ago
An Integrated Approach of Learning, Planning, and Execution
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
Ramón García-Martínez, Daniel...
IJON
2007
80views more  IJON 2007»
14 years 10 months ago
To each his own: The caregiver's role in a computational model of gaze following
We investigate a computational model of the emergence of gaze following that is based on a generic basic set of mechanisms. Whereas much attention has been focused so far on the s...
Christof Teuscher, Jochen Triesch