Object Based Learning Professors in Global

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C. Green
University of Wisconsin–Madison United States of America
human learning
perceptual learning
motor learning
cognitive learning
transfer learning
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Nicholas Rhinehart
University of Toronto Canada
robot learning
imitation learning
reinforcement learning
machine learning
deep learning
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Atsuto Maki
KTH Royal Institute of Technology Sweden
motion object recognition
representation learning
machine learning
deep learning
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Kurt Driessens
Maastricht University Netherlands
relational learning
reinforcement learning
machine learning
transfer learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
statistical learning
online learning
reinforcement learning
machine learning
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Kurt Driessens
Maastricht University Netherlands
relational learning
reinforcement learning
machine learning
transfer learning
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Pieter Abbeel
University of California, Berkeley United States of America
imitation learning
reinforcement learning
transfer learning
deep learning
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Pascal Poupart
University of Waterloo Canada
self-supervised learning
reinforcement learning
causal learning
machine learning
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Yichen Zhang
Purdue University United States of America
distributed learning
multi-task learning
reinforcement learning
transfer learning
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Honglak Lee
University of Michigan United States of America
representation learning
large-scale learning
machine learning
deep learning
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Jason Lee
University of California, Berkeley United States of America
representation learning
reinforcement learning
machine learning
deep learning
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Yuhong Guo
Carleton University Canada
representation learning
self-supervised learning
reinforcement learning
machine learning
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Jason Lee
University of California, Berkeley United States of America
representation learning
reinforcement learning
machine learning
deep learning
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Yuhong Guo
Carleton University Canada
representation learning
self-supervised learning
reinforcement learning
machine learning
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Kun Zhang
Carnegie Mellon University United States of America
causality-based learning
machine learning
transfer learning
deep learning
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Maryam Fazel
University of Washington United States of America
reinforcement learning
learning control
machine learning
deep learning
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Ferenc Huszár
University of Cambridge United Kingdom
representation learning
machine learning
transfer learning
deep learning
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Doris Tsao
University of California, Berkeley United States of America
object recognition
object segmentation
visual object representation
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Maria Amer
Concordia University Canada
object detection
object tracking
deep learning
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Atsuko Borgmann
Brown University United States of America
content-based instruction
task-based instruction
multimodal learning
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Rudolf Lioutikov
University of Texas at Austin United States of America
imitation learning
structure learning
reinforcement learning
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