Problem Learning Professors in Global

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Tamara Van Gog
Utrecht University Netherlands
learning
example-based learning
multimedia learning
self-regulated learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
reinforcement learning
statistical learning
online learning
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Rupam Mahmood
University of Alberta Canada
reinforcement learning
continual learning
real-time learning systems
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Pascal Poupart
University of Waterloo Canada
reinforcement learning
causal learning
continual learning
self-supervised learning
shot learning
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Marc Gendron-bellemare
University of Montreal Canada
reinforcement learning
online learning
deep learning
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Arthur Galamba
King's College London United Kingdom
collaborative learning
hybrid learning
online learning
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Rikke Ørngreen
Aalborg University Denmark
problem based learning
learning
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Stig Enemark
Aalborg University Denmark
problem based learning
learning
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Gertrud Esbensen
Aalborg University Denmark
problem based learning
learning
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Annette Grunwald
Aalborg University Denmark
problem based learning
learning
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Thomas Ryberg
Aalborg University Denmark
problem based learning
networked learning
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Benedek Kurdi
University of Illinois United States of America
learning
reinforcement learning
causal learning
propositional learning
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Qingyun Wu
Pennsylvania State University United States of America
learning
reinforcement learning
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Joseph Williams
University of Toronto Canada
learning
reinforcement learning
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Nick Turk-browne
Yale University United States of America
learning
statistical learning
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Anthony Coache
Imperial College London United Kingdom
reinforcement learning
statistical learning
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Susan Murphy
Harvard John Paulson School of Engineering and Applied Sciences United States of America
reinforcement learning
statistical learning
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Petar Kormushev
Imperial College London United Kingdom
reinforcement learning
robot learning algorithms
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Adam White
University of Alberta Canada
reinforcement learning
continual learning
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Yuhong Guo
Carleton University Canada
representation learning
reinforcement learning
continual learning
self-supervised learning
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Oya Celiktutan
King's College London United Kingdom
reinforcement learning
continual learning
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