Online Statistical Reinforcement Learning Professors in Global

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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
online learning
reinforcement learning
statistical learning
machine learning
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Florian Shkurti
University of Toronto Canada
reinforcement learning
inverse reinforcement learning
imitation learning
machine learning
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Yuhong Guo
Carleton University Canada
reinforcement learning
self-supervised learning
machine learning
representation learning
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Yuhong Guo
Carleton University Canada
reinforcement learning
self-supervised learning
machine learning
representation learning
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Nicholas Rhinehart
University of Toronto Canada
reinforcement learning
robot learning
imitation learning
machine learning
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Ciara Pike-burke
Imperial College London United Kingdom
online learning
reinforcement learning
statistical machine learning
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Rahul Jain
University of Southern California United States of America
online learning
reinforcement learning
statistical learning theory
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Rahul Jain
University of Southern California United States of America
online learning
reinforcement learning
statistical learning theory
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Adam Wierman
California Institute of Technology United States of America
online learning
online algorithms
online optimization
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Adam Wierman
California Institute of Technology United States of America
online learning
online algorithms
online optimization
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Adam Wierman
California Institute of Technology United States of America
online learning
online algorithms
online optimization
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Haipeng Luo
University of Southern California United States of America
online learning
reinforcement learning
machine learning
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Haipeng Luo
University of Southern California United States of America
online learning
reinforcement learning
machine learning
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Colin Bellinger
University of Ottawa Canada
reinforcement learning
safe reinforcement learning
machine learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
online learning
statistical learning
machine learning
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Kevin Luck
Vrije Universiteit Amsterdam Netherlands
reinforcement learning
deep reinforcement learning
robot learning
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Qingyun Wu
Pennsylvania State University United States of America
reinforcement learning
online optimization
automated machine learning
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Stephen Tu
University of Southern California United States of America
online learning
statistical learning theory
imitation learning
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Daniel Roy
University of Toronto Canada
online learning
statistical learning theory
machine learning
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Yi Zhou
Texas A&M University United States of America
reinforcement learning
statistical learning theory
machine learning
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Samet Oymak
University of Michigan United States of America
reinforcement learning
statistical learning theory
machine learning
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