Transformative Learning Theory Professors in Global

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C. Green
University of Wisconsin–Madison United States of America
perceptual learning
human learning
transfer learning
cognitive learning
motor learning
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Yuhong Guo
Carleton University Canada
reinforcement learning
representation learning
continual learning
self-supervised learning
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Yuhong Guo
Carleton University Canada
reinforcement learning
representation learning
continual learning
self-supervised learning
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Pascal Poupart
University of Waterloo Canada
reinforcement learning
continual learning
self-supervised learning
causal learning
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Yichen Zhang
Purdue University United States of America
reinforcement learning
transfer learning
multi-task learning
distributed learning
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Antoine Van Den Beemt
Eindhoven University of Technology Belgium
networked learning
transdisciplinary learning
technology enhanced learning
challenge-based learning
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Moira Maley
University of Western Australia Australia
transformative learning
experiential learning
video learning
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Samory Kpotufe
Columbia University United States of America
adaptive learning
transfer learning
multi-task learning
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Kurt Driessens
Maastricht University Netherlands
reinforcement learning
relational learning
transfer learning
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Kurt Driessens
Maastricht University Netherlands
reinforcement learning
relational learning
transfer learning
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Pieter Abbeel
University of California, Berkeley United States of America
reinforcement learning
transfer learning
imitation learning
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Rupam Mahmood
University of Alberta Canada
reinforcement learning
continual learning
real-time learning systems
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Yinbei Li
Singapore Institute of Technology Singapore
reinforcement learning
imitation learning
robot learning
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Nicholas Rhinehart
University of Toronto Canada
reinforcement learning
imitation learning
robot learning
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Rudolf Lioutikov
University of Texas at Austin United States of America
reinforcement learning
imitation learning
structure learning
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Benedek Kurdi
University of Illinois United States of America
reinforcement learning
causal learning
propositional learning
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Natalie Bennett
Monash University Australia
collaborative learning
constructivist learning
blended learning
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Kevin Luck
Vrije Universiteit Amsterdam Netherlands
reinforcement learning
deep reinforcement learning
robot learning
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Florian Shkurti
University of Toronto Canada
reinforcement learning
imitation learning
inverse reinforcement learning
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Jessica Lee
University of Sydney Australia
causal learning
rule learning
associative learning
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Shirin Vossoughi
Northwestern University United States of America
transformative learning
human learning
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