Markovian Learning Professors in Global

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C. Green
University of Wisconsin–Madison United States of America
motor learning
human learning
perceptual learning
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Olav Krigolson
University of Victoria Canada
motor learning
learning
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Nick Turk-browne
Yale University United States of America
learning
statistical learning
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Andreas Kyprianou
University of Warwick United Kingdom
branching markov processes
self-similar markov processes
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Signe Duff
Macquarie University Australia
mathematics learning
collaborative learning
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Stefan Kachel
University of Melbourne Australia
statistical learning
categorical learning
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Judith Rispens
University of Amsterdam Netherlands
statistical learning
language learning
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Judith Rispens
University of Amsterdam Netherlands
statistical learning
language learning
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Elizabeth Wonnacott
University of Oxford United Kingdom
statistical learning
language learning
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Tamara Van Gog
Utrecht University Netherlands
learning
example-based learning
multimedia learning
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Robert Boakes
University of Sydney Australia
learning
associative learning
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Justin Harris
University of Sydney Australia
learning
associative learning
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Kyle Mayer
University of Southern California United States of America
learning
organizational learning
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Shirin Vossoughi
Northwestern University United States of America
human learning
transformative learning
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Benedek Kurdi
University of Illinois United States of America
learning
causal learning
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Linus Ericsson
University of Glasgow United Kingdom
representation learning
multi-modal learning
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Robin Murphy
University of Oxford United Kingdom
human learning
associative learning
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Yue Tan
University of New South Wales Australia
representation learning
multimodal learning
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Stephen Tu
University of Southern California United States of America
imitation learning
statistical learning theory
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Aditya Mahajan
McGill University Canada
partially observable markov decision processes
markov decision processes
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Yinbei Li
Singapore Institute of Technology Singapore
imitation learning
robot learning
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