Intrinsic Alignment Professors in Global

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Matthias Bickel
ETH Zurich Switzerland
inverse reinforcement learning
inverse optimization
reinforcement learning
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Florian Shkurti
University of Toronto Canada
inverse reinforcement learning
imitation learning
reinforcement learning
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Sheila Mcilraith
University of Toronto Canada
ai alignment
reinforcement learning
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Wenhao Lu
Chalmers University of Technology Sweden
intrinsic exploration
reinforcement learning
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Adam White
University of Alberta Canada
intrinsic motivation
reinforcement learning
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Tribhi Kathuria
University of Michigan United States of America
inverse reinforcement learning
imitation learning
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Oliver Ray
University of Bristol United Kingdom
inductive logic programming
inductive reasoning
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Judith Verstegen
Utrecht University Netherlands
spatial optimization
spatial modeling
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Wael Suleiman
University of Sherbrooke Canada
imitation learning
reinforcement learning
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Matthew Howard
King's College London United Kingdom
imitation learning
reinforcement learning
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Yinbei Li
Singapore Institute of Technology Singapore
imitation learning
reinforcement learning
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Rudolf Lioutikov
University of Texas at Austin United States of America
imitation learning
reinforcement learning
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Sanjiban Choudhury
Cornell University Netherlands
imitation learning
reinforcement learning
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Giorgia Ramponi
University of Zurich Switzerland
imitation learning
reinforcement learning
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Nicholas Rhinehart
University of Toronto Canada
imitation learning
reinforcement learning
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Pieter Abbeel
University of California, Berkeley United States of America
imitation learning
reinforcement learning
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Wael Suleiman
University of Sherbrooke Canada
imitation learning
reinforcement learning
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Florian Shkurti
University of Toronto Canada
imitation learning
reinforcement learning
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Benjamin Eysenbach
Princeton University United States of America
probabilistic inference
reinforcement learning
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Wendelin Böhmer
Delft University of Technology Netherlands
reinforcement learning
inductive reasoning
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Anthony Coache
Imperial College London United Kingdom
reinforcement learning
stochastic modeling
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