Feedback Learning Professors in Global

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C. Green
University of Wisconsin–Madison United States of America
human learning
perceptual learning
cognitive learning
motor learning
transfer learning
depth learning
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Nicholas Rhinehart
University of Toronto Canada
deep learning
robot learning
imitation learning
reinforcement learning
machine learning
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Kim Blackmore
Australian National University Australia
feedback systems
machine learning
learning systems
pattern recognition
systems thinking
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Pascal Poupart
University of Waterloo Canada
reinforcement learning
machine learning
meta learning
continual learning
causal learning
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Pascal Vincent
University of Montreal Canada
deep learning
representation learning
machine learning
pattern recognition
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Kevin Luck
Vrije Universiteit Amsterdam Netherlands
deep learning
robot learning
reinforcement learning
deep reinforcement learning
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Jason Lee
University of California, Berkeley United States of America
deep learning
reinforcement learning
representation learning
machine learning
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Pieter Abbeel
University of California, Berkeley United States of America
deep learning
imitation learning
reinforcement learning
transfer learning
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Honglak Lee
University of Michigan United States of America
deep learning
representation learning
machine learning
large-scale learning
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Maryam Fazel
University of Washington United States of America
deep learning
reinforcement learning
machine learning
learning control
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Ferenc Huszár
University of Cambridge United Kingdom
deep learning
representation learning
machine learning
transfer learning
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Jason Lee
University of California, Berkeley United States of America
deep learning
reinforcement learning
representation learning
machine learning
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Florian Shkurti
University of Toronto Canada
imitation learning
reinforcement learning
machine learning
inverse reinforcement learning
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Yuhong Guo
Carleton University Canada
reinforcement learning
representation learning
machine learning
continual learning
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Kin-choong Yow
University of Regina Canada
deep learning
machine learning
pattern recognition
deep reinforcement learning
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Kurt Driessens
Maastricht University Netherlands
reinforcement learning
machine learning
relational learning
transfer learning
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Yuhong Guo
Carleton University Canada
reinforcement learning
representation learning
machine learning
continual learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
reinforcement learning
machine learning
statistical learning
online learning
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Kurt Driessens
Maastricht University Netherlands
reinforcement learning
machine learning
relational learning
transfer learning
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Sascha Schneider
University of Zurich Switzerland
cognitive learning
social learning
emotional learning
motivational learning
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Raymond Mooney
University of Texas at Austin United States of America
machine learning
ensemble learning
transfer learning
learning recommender systems
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