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ML
2007
ACM
104views Machine Learning» more  ML 2007»
15 years 7 months ago
A general criterion and an algorithmic framework for learning in multi-agent systems
We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...
Rob Powers, Yoav Shoham, Thuc Vu
TIP
2008
185views more  TIP 2008»
15 years 7 months ago
Active Learning Methods for Interactive Image Retrieval
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
Philippe Henri Gosselin, Matthieu Cord
HCI
2009
15 years 5 months ago
Adaptive Learning via Social Cognitive Theory and Digital Cultural Ecosystems
This paper will look at the human predisposition to oral tradition and its effectiveness as a learning tool to convey mission-critical information. After exploring the effectivenes...
Joseph Juhnke, Adam R. Kallish
HCI
2009
15 years 5 months ago
Long Term Repair of Learning Disability through Short-Term Reduction of CNS Inhibition
Learning disabilities are serious societal problems contributing to a loss of quality of life for affected individuals and their families. We hypothesized that the learning disabil...
H. Craig Heller, Damien Colas, Norman F. Ruby, Fab...

Publication
240views
14 years 6 months ago
Bayesian multitask inverse reinforcement learning
We generalise the problem of inverse reinforcement learning to multiple tasks, from multiple demonstrations. Each one may represent one expert trying to solve a different task, or ...
Christos Dimitrakakis, Constantin A. Rothkopf