Repetitive Learning Professors in Global

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Yuhong Guo
Carleton University Canada
reinforcement learning
continual learning
representation learning
self-supervised learning
active learning
federated learning
unsupervised learning
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C. Green
University of Wisconsin–Madison United States of America
perceptual learning
human learning
motor learning
cognitive learning
rate learning
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Natalie Bennett
Monash University Australia
collaborative learning
blended learning
constructivist learning
active learning
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Tamara Van Gog
Utrecht University Netherlands
learning
example-based learning
multimedia learning
self-regulated learning
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Yaoliang Yu
University of Waterloo Canada
representation learning
distributed learning
federated learning
generative modelling
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Yinbei Li
Singapore Institute of Technology Singapore
imitation learning
reinforcement learning
robot learning
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Florian Shkurti
University of Toronto Canada
imitation learning
reinforcement learning
inverse reinforcement learning
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Benedek Kurdi
University of Illinois United States of America
learning
reinforcement learning
causal learning
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Rupam Mahmood
University of Alberta Canada
reinforcement learning
continual learning
real-time learning systems
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Rudolf Lioutikov
University of Texas at Austin United States of America
imitation learning
reinforcement learning
structure learning
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Moira Maley
University of Western Australia Australia
transformative learning
video learning
experiential learning
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Muhammad Hafez
University of Southampton United Kingdom
reinforcement learning
robot learning
continual robot learning
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Samory Kpotufe
Columbia University United States of America
adaptive learning
multi-task learning
active learning
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Sharon Flecknoe
Monash University Australia
collaborative learning
blended learning
active learning
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Jessica Lee
University of Sydney Australia
associative learning
rule learning
causal learning
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Lester Jones
Singapore Institute of Technology Singapore
reflective learning
student learning
self regulated learning
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Pieter Abbeel
University of California, Berkeley United States of America
imitation learning
reinforcement learning
unsupervised learning
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Yichen Zhang
Purdue University United States of America
reinforcement learning
multi-task learning
distributed learning
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Nikolaj Stegeager
Aalborg University Denmark
collaborative learning
active learning
problem-based 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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Arthur Galamba
King's College London United Kingdom
collaborative learning
hybrid learning
online learning
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