Instance Based Learning Theory Professors in Global

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Florian Shkurti
University of Toronto Canada
imitation learning
inverse reinforcement learning
reinforcement learning
machine learning
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Nicholas Rhinehart
University of Toronto Canada
imitation learning
reinforcement learning
machine learning
information theory
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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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Matthew Howard
King's College London United Kingdom
imitation learning
reinforcement learning
machine learning
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Giorgia Ramponi
University of Zurich Switzerland
imitation learning
reinforcement learning
machine learning
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Florian Shkurti
University of Toronto Canada
imitation learning
reinforcement learning
machine learning
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Yi Zhou
Texas A&M University United States of America
statistical learning theory
reinforcement learning
machine learning
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Samet Oymak
University of Michigan United States of America
statistical learning theory
reinforcement learning
machine learning
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Semih Cayci
RWTH Aachen University Germany
deep learning theory
reinforcement learning
machine learning
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Edwin Simpson
University of Bristol United Kingdom
preference learning
interactive learning
machine learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
statistical learning
reinforcement learning
machine learning
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Stephanie Milani
Johns Hopkins University United States of America
interactive machine learning
reinforcement learning
machine learning
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Yuxin Chen
University of Pennsylvania United States of America
machine learning theory
reinforcement learning
information theory
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Nihar Shah
Carnegie Mellon University United States of America
statistical learning
machine learning
information theory
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Kurt Driessens
Maastricht University Netherlands
relational learning
reinforcement learning
machine learning
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Kurt Driessens
Maastricht University Netherlands
relational learning
reinforcement learning
machine learning
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Faramarz Fekri
Georgia Institute of Technology United States of America
reinforcement learning
machine learning
information theory
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Stephen Tu
University of Southern California United States of America
imitation learning
statistical learning theory
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Tribhi Kathuria
University of Michigan United States of America
imitation learning
inverse reinforcement learning
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Tim Steininger
Albert-Ludwigs-Universität Freiburg Germany
example-based learning
learning theories
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Wael Suleiman
University of Sherbrooke Canada
imitation learning
reinforcement learning
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