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Adaptive Deviation Learning
Adaptive Deviation Learning Professors in Global
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Professor
Hongyang Dong
University of Warwick
United Kingdom
adaptive dynamic programming
adaptive control
deep learning
reinforcement learning
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Professor
Nicholas Rhinehart
University of Toronto
Canada
imitation learning
robot learning
deep learning
reinforcement learning
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Professor
C. Green
University of Wisconsin–Madison
United States of America
human learning
perceptual learning
depth learning
motor learning
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Professor
Kevin Luck
Vrije Universiteit Amsterdam
Netherlands
robot learning
deep learning
deep reinforcement learning
reinforcement learning
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Professor
Audrey Durand
Laval University
Canada
adaptive learning systems
adaptive agents
statistical learning
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Professor
Howard Schwartz
Carleton University
Canada
adaptive learning systems
adaptive control
multi-robot learning adaptation
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Professor
Howard Schwartz
Carleton University
Canada
adaptive learning systems
adaptive control
multi robot learning adaptation
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Professor
Stephen Tu
University of Southern California
United States of America
adaptive control
imitation learning
statistical learning theory
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Professor
Jason Klusowski
Princeton University
United States of America
statistical learning
decision tree learning
deep learning
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Professor
Pieter Abbeel
University of California, Berkeley
United States of America
imitation learning
deep learning
reinforcement learning
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Professor
Yinbei Li
Singapore Institute of Technology
Singapore
imitation learning
robot learning
reinforcement learning
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Professor
Randall Balestriero
Brown University
United States of America
representation learning
self-supervised learning
deep learning
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Professor
Sarthak Yadav
Aalborg University
Denmark
representation learning
self-supervised learning
deep learning
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Professor
Florian Shkurti
University of Toronto
Canada
imitation learning
inverse reinforcement learning
reinforcement learning
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Professor
Jason Lee
University of California, Berkeley
United States of America
representation learning
deep learning
reinforcement learning
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Professor
Yuhong Guo
Carleton University
Canada
representation learning
self-supervised learning
reinforcement learning
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Professor
Yuhong Guo
Carleton University
Canada
representation learning
self-supervised learning
reinforcement learning
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Professor
Jason Lee
University of California, Berkeley
United States of America
representation learning
deep learning
reinforcement learning
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Professor
Mehrdad Mahdavi
Pennsylvania State University
United States of America
deep learning
computational learning theory
statistical learning theory
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Professor
Pascal Poupart
University of Waterloo
Canada
self-supervised learning
reinforcement learning
causal learning
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Professor
Simin Nadjm-tehrani
Linköping University
Sweden
adaptive anomaly detection
adaptive resource allocation
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