Ranking Preference Learning Professors in Global

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University of Sherbrooke Canada
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reinforcement learning
machine learning
deep learning
decision-making
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Nicholas Rhinehart
University of Toronto Canada
reinforcement learning
robot learning
machine learning
deep learning
imitation learning
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Pieter Abbeel
University of California, Berkeley United States of America
reinforcement learning
deep learning
imitation learning
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Sergey Levine
University of California, Berkeley United States of America
reinforcement learning
machine learning
deep learning
decision making
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
reinforcement learning
machine learning
statistical learning
decision making
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Qingyun Wu
Pennsylvania State University United States of America
reinforcement learning
decision-making
learning
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George Azzopardi
University of Groningen Netherlands
pattern recognition
machine learning
deep learning
predictive analysis
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Benedek Kurdi
University of Illinois United States of America
reinforcement learning
propositional learning
learning
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Rudolf Lioutikov
University of Texas at Austin United States of America
reinforcement learning
structure learning
imitation learning
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Chin-hui Lee
Georgia Institute of Technology United States of America
pattern recognition
machine learning
information retrieval
speech recognition
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Ben Eppinger
Concordia University Canada
decision-making
learning
reward processing
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Olav Krigolson
University of Victoria Canada
decision-making
learning
motor learning
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Ian Crawford
University of Oxford United Kingdom
revealed preference theory
choice behavior
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Michael Mack
University of Toronto Canada
human memory learning
category learning
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Rui Pires Da Silva Castro
Eindhoven University of Technology Belgium
pattern recognition
learning theory
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Sarath Anbil Parthipan
Université de Montréal Canada
reinforcement learning
deep learning
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Yangchen Pan
University of Oxford United Kingdom
reinforcement learning
machine learning
deep learning
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Janarthanan Rajendran
Dalhousie University Canada
reinforcement learning
deep learning
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Sidney Givigi
Queen's University Canada
reinforcement learning
machine learning
deep learning
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Hongyang Dong
University of Warwick United Kingdom
reinforcement learning
machine learning
deep learning
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Matthew Leigh
University of Geneva Switzerland
reinforcement learning
deep learning
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