Self Regulative Learning Professors in Global

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Pascal Poupart
University of Waterloo Canada
self-supervised learning
reinforcement learning
causal learning
continual learning
shot learning
federated learning
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Yuhong Guo
Carleton University Canada
self-supervised learning
representation learning
reinforcement learning
semi-supervised learning
continual learning
unsupervised learning
federated learning
weakly supervised learning
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Yuhong Guo
Carleton University Canada
self-supervised learning
representation learning
reinforcement learning
semi-supervised learning
continual learning
unsupervised learning
federated learning
weakly supervised learning
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Benedek Kurdi
University of Illinois United States of America
reinforcement learning
learning
causal learning
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Marcia Linn
University of California, Berkeley United States of America
learning
computer-mediated learning
simulation learning environments
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Rupam Mahmood
University of Alberta Canada
reinforcement learning
continual learning
real-time learning systems
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Sascha Schneider
University of Zurich Switzerland
social learning
cognitive learning
motivational learning
meta-cognitive learning
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Qingyun Wu
Pennsylvania State University United States of America
reinforcement learning
learning
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Joseph Williams
University of Toronto Canada
reinforcement learning
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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Oya Celiktutan
King's College London United Kingdom
reinforcement learning
continual learning
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Maartje Raijmakers
University of Amsterdam Netherlands
learning
science learning
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Yichen Zhang
Purdue University United States of America
reinforcement learning
distributed learning
multi-task learning
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Berner Lindström
University of Gothenburg Sweden
learning
flexible learning
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Constantine Caramanis
University of Texas at Austin United States of America
reinforcement learning
autonomous decision-making
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Michale Fee
Massachusetts Institute of Technology United States of America
reinforcement learning
neural mechanisms of learning
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Charlotte Arkenback-sundström
University of Gothenburg Sweden
learning
vocational learning
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Shuang Ao
University of New South Wales Australia
reinforcement learning
curriculum learning
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Muhammad Hafez
University of Southampton United Kingdom
robot learning
reinforcement learning
continual robot 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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