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Goal Directed Learning
Goal Directed Learning Professors in Global
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Professor
Yuhong Guo
Carleton University
Canada
self-supervised learning
federated learning
continual learning
reinforcement learning
semi-supervised learning
active learning
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Professor
Yuhong Guo
Carleton University
Canada
self-supervised learning
federated learning
continual learning
reinforcement learning
semi-supervised learning
active learning
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Professor
Joseph Gonzalez
University of California, Berkeley
United States of America
federated learning
deep reinforcement learning
accelerated deep learning
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Professor
Pascal Poupart
University of Waterloo
Canada
self-supervised learning
causal learning
federated learning
continual learning
reinforcement learning
shot learning
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Professor
Alexander Rakhlin
Massachusetts Institute of Technology
United States of America
statistical learning
reinforcement learning
online learning
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Professor
David Malan
Harvard University
United States of America
distance learning
collaborative learning
computer-assisted instruction
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Professor
Junfeng Wen
Carleton University
Canada
federated learning
reinforcement learning
transfer learning
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Professor
Pieter Abbeel
University of California, Berkeley
United States of America
reinforcement learning
imitation learning
transfer learning
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Professor
Yinbei Li
Singapore Institute of Technology
Singapore
robot learning
reinforcement learning
imitation learning
educational robotics
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Professor
Pierre Dillenbourg
École Polytechnique Fédérale de Lausanne
Switzerland
computer-supported collaborative learning
collaborative learning
learning technologies
educational robotics
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Professor
Pierre Dillenbourg
École Polytechnique Fédérale de Lausanne
Switzerland
collaborative learning
learning technologies
educational robotics
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Professor
Natalie Bennett
Monash University
Australia
blended learning
collaborative learning
constructivist learning
active learning
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Professor
Chris Campbell
University of New South Wales
Australia
learning design
online learning
mobile learning
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Professor
Ruth Urner
York University
Canada
semi-supervised learning
transfer learning
active learning
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Professor
Raymond Mooney
University of Texas at Austin
United States of America
semi-supervised learning
transfer learning
active learning
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Professor
Kathryn Spoehr
Brown University
United States of America
digital learning tools
computer-based learning systems
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Professor
Nick Turk-browne
Yale University
United States of America
statistical learning
learning
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Professor
C. Green
University of Wisconsin–Madison
United States of America
human learning
cognitive learning
motor learning
perceptual learning
depth learning
transfer learning
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Professor
Tomas Nordström
Umeå University
Sweden
federated learning
collaborative learning
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Professor
Shubham Vaishnav
Stockholm University
Sweden
federated learning
reinforcement learning
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Professor
Ali Beikmohammadi
Stockholm University
Sweden
federated learning
reinforcement learning
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