Action Learning Professors in Global

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C. Green
University of Wisconsin–Madison United States of America
motor learning
human learning
perceptual learning
cognitive learning
rate learning
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Yuhong Guo
Carleton University Canada
active learning
reinforcement learning
representation learning
machine learning
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Rudolf Lioutikov
University of Texas at Austin United States of America
imitation learning
reinforcement learning
structure learning
life-long active learning
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Giorgia Ramponi
University of Zurich Switzerland
imitation learning
reinforcement learning
multi-agent learning
machine learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
reinforcement learning
statistical learning
machine learning
online learning
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Linus Ericsson
University of Glasgow United Kingdom
representation learning
multi-modal learning
automated machine learning
machine learning
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Lone Hersted
Aalborg University Denmark
action learning
action research
learning processes
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Sabine Hunnius
Radboud University Netherlands
action processing
action understanding
action planning
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Jessica Lee
University of Sydney Australia
associative learning
rule learning
causal learning
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Annette Grunwald
Aalborg University Denmark
active learning
learning
problem based learning
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Dima Damen
University of Bristol United Kingdom
action recognition
activity analysis
machine learning
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Yinbei Li
Singapore Institute of Technology Singapore
robot learning
imitation learning
reinforcement learning
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Samory Kpotufe
Columbia University United States of America
active learning
adaptive learning
multi-task learning
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Thang Bui
Australian National University Australia
active learning
reinforcement learning
machine learning
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Benedek Kurdi
University of Illinois United States of America
learning
reinforcement learning
causal learning
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Jonathan Shapiro
University of Manchester United Kingdom
active learning
reinforcement learning
machine learning
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Kevin Jamieson
University of Washington United States of America
active learning
reinforcement learning
machine learning
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Lerrel Pinto
New York University United States of America
robot learning
reinforcement learning
machine learning
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Joseph Williams
University of Toronto Canada
learning
reinforcement learning
machine learning
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Qingyun Wu
Pennsylvania State University United States of America
learning
reinforcement learning
automated machine learning
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Sharon Flecknoe
Monash University Australia
active learning
collaborative learning
blended learning
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