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