Investor Learning Professors in Global

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Yuhong Guo
Carleton University Canada
reinforcement learning
continual learning
representation learning
machine learning
self-supervised learning
federated learning
active learning
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C. Green
University of Wisconsin–Madison United States of America
human learning
motor learning
cognitive learning
transfer learning
depth learning
perceptual learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
online learning
statistical learning
reinforcement learning
machine learning
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Kurt Driessens
Maastricht University Netherlands
reinforcement learning
relational learning
transfer learning
machine learning
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Kurt Driessens
Maastricht University Netherlands
reinforcement learning
relational learning
transfer learning
machine learning
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Tal Kachman
Radboud University Netherlands
financial machine learning
reinforcement learning
deep learning
machine 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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Florian Shkurti
University of Toronto Canada
imitation learning
reinforcement learning
machine learning
inverse reinforcement learning
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Maryam Fazel
University of Washington United States of America
reinforcement learning
deep learning
learning control
machine learning
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Mohsen Amiri
Stockholm University Sweden
reinforcement learning
deep learning
machine learning
federated learning
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Junfeng Wen
Carleton University Canada
reinforcement learning
transfer learning
machine learning
federated learning
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Jason Lee
University of California, Berkeley United States of America
reinforcement learning
representation learning
deep learning
machine learning
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Jason Lee
University of California, Berkeley United States of America
reinforcement learning
representation learning
deep learning
machine learning
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Konstantinos Kamnitsas
University of Oxford United Kingdom
transfer learning
deep learning
machine learning
federated learning
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Ferenc Huszár
University of Cambridge United Kingdom
representation learning
transfer learning
deep learning
machine learning
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Oisin Mac Aodha
University of Edinburgh United Kingdom
deep learning
machine learning
machine teaching
active learning
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Yaoliang Yu
University of Waterloo Canada
representation learning
distributed learning
machine learning
federated learning
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Honglak Lee
University of Michigan United States of America
representation learning
deep learning
machine learning
large-scale learning
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Stefan Nagel
University of Chicago Booth School of Business United States of America
investor learning
investor behavior
machine learning
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Yinbei Li
Singapore Institute of Technology Singapore
robot learning
imitation learning
reinforcement learning
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Gonny Schellings
Eindhoven University of Technology Belgium
professional learning
learning strategies
learning environments
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