Reinforcement Learning Professors in Global

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Pascal Poupart
University of Waterloo Canada
reinforcement learning
federated learning
continual learning
machine learning
self-supervised learning
causal learning
shot learning
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Yuhong Guo
Carleton University Canada
reinforcement learning
representation learning
federated learning
continual learning
machine learning
self-supervised learning
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Yuhong Guo
Carleton University Canada
reinforcement learning
representation learning
federated learning
continual learning
machine learning
self-supervised learning
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Jennifer Howell
University of Western Australia Australia
augmented learning
virtual learning
online learning
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Rahul Jain
University of Southern California United States of America
statistical reinforcement learning
online learning
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Joana Carvalheiro
University of Glasgow United Kingdom
punishment learning
reward learning
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C. Green
University of Wisconsin–Madison United States of America
human learning
motor learning
cognitive learning
perceptual learning
depth learning
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Shirin Vossoughi
Northwestern University United States of America
human learning
transformative learning
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Nick Turk-browne
Yale University United States of America
statistical learning
learning
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Mengye Ren
New York University United States of America
representation learning
continual learning
machine learning
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Honglak Lee
University of Michigan United States of America
representation learning
deep learning
large-scale learning
machine learning
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Edoardo Manino
University of Manchester United Kingdom
multi-agent reinforcement learning
theoretical machine learning
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Sarthak Yadav
Aalborg University Denmark
representation learning
deep learning
self-supervised learning
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Randall Balestriero
Brown University United States of America
representation learning
deep learning
self-supervised learning
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Yaoliang Yu
University of Waterloo Canada
representation learning
federated learning
machine learning
distributed learning
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Yue Tan
University of New South Wales Australia
representation learning
federated learning
multimodal learning
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Moira Maley
University of Western Australia Australia
transformative learning
video learning
experiential learning
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Lisa Delsignore
Yale University United States of America
test-enhanced learning
spaced learning
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Sushant Sachdeva
University of Toronto Canada
representation learning
mathematical machine learning
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Vinay Gogineni
University of Southern Denmark Denmark
continual learning
machine learning
self-supervised learning
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Benedek Kurdi
University of Illinois United States of America
reinforcement learning
learning
causal learning
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