Rate Learning Professors in Global

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C. Green
University of Wisconsin–Madison United States of America
rate learning
human learning
cognitive learning
motor learning
transfer learning
perceptual learning
depth learning
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Yuhong Guo
Carleton University Canada
representation learning
reinforcement learning
active learning
continual learning
federated learning
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Yuhong Guo
Carleton University Canada
representation learning
reinforcement learning
active learning
continual learning
federated learning
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Samory Kpotufe
Columbia University United States of America
transfer learning
active learning
adaptive learning
multi-task learning
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Yichen Zhang
Purdue University United States of America
reinforcement learning
transfer learning
multi-task learning
distributed learning
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Pascal Poupart
University of Waterloo Canada
shot learning
reinforcement learning
causal learning
continual learning
federated learning
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Yinbei Li
Singapore Institute of Technology Singapore
robot learning
reinforcement learning
imitation learning
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Nicholas Rhinehart
University of Toronto Canada
robot learning
reinforcement learning
imitation learning
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Benedek Kurdi
University of Illinois United States of America
learning
reinforcement learning
causal learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
statistical learning
reinforcement learning
online learning
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Raymond Mooney
University of Texas at Austin United States of America
transfer learning
statistical relational learning
active learning
ensemble learning
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Pieter Abbeel
University of California, Berkeley United States of America
reinforcement learning
transfer learning
imitation learning
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Tamara Van Gog
Utrecht University Netherlands
learning
self-regulated learning
example-based learning
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Lone Hersted
Aalborg University Denmark
action learning
learning processes
organizational learning
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Sascha Schneider
University of Zurich Switzerland
cognitive learning
social learning
motivational learning
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Junfeng Wen
Carleton University Canada
reinforcement learning
transfer learning
federated learning
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Stefan Stenbom
KTH Royal Institute of Technology Sweden
digital learning
learning engineering
blended learning
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Raymond Mooney
University of Texas at Austin United States of America
statistical relational learning
active learning
natural language learning
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Arthur Galamba
King's College London United Kingdom
online learning
stem learning
collaborative learning
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Rahul Jain
University of Southern California United States of America
reinforcement learning
online learning
statistical learning theory
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Rahul Jain
University of Southern California United States of America
reinforcement learning
online learning
statistical learning theory
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