Iterative Learning Control Professors in Global

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Florian Shkurti
University of Toronto Canada
imitation learning
inverse reinforcement learning
reinforcement learning
control
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C. Green
University of Wisconsin–Madison United States of America
human learning
motor learning
perceptual learning
cognitive learning
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Mojtaba Ahmadi
Carleton University Canada
linear control
real-time control
control
nonlinear control
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Quan Nguyen
University of Southern California United States of America
reinforcement learning
real-time optimal control
control
nonlinear control
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Roberto Horowitz
University of California, Berkeley United States of America
learning control
adaptive control
nonlinear control
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Yinbei Li
Singapore Institute of Technology Singapore
imitation learning
robot learning
reinforcement learning
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Camillo Taylor
University of Pennsylvania United States of America
learning control systems
perception-based control
data-driven control algorithms
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Florian Shkurti
University of Toronto Canada
imitation learning
reinforcement learning
control
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Hector Budman
University of Waterloo Canada
modeling control
model predictive control
process control
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Aditya Mahajan
McGill University Canada
stochastic iterative algorithms
reinforcement learning
control
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Marcel Heertjes
Eindhoven University of Technology Belgium
feedforward learning control
industrial control
nonlinear control
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Aaron Tong
University of British Columbia Canada
predictive control
adaptive control
process control
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Christoph Reisinger
University of Oxford United Kingdom
impulse control
stochastic control
reinforcement learning
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Boris Lohmann
Technical University of Munich Germany
predictive control
adaptive control
control theory
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Sree Kotala
Maastricht University Netherlands
model predictive control
reinforcement learning
control theory
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Hongyang Dong
University of Warwick United Kingdom
intelligent control
adaptive control
reinforcement learning
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Muhammad Hafez
University of Southampton United Kingdom
robot learning
reinforcement learning
continual robot learning
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Yichen Zhang
Purdue University United States of America
multi-task learning
reinforcement learning
distributed learning
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Sanghoon Lee
New York University United States of America
linear control
discrete-time feedback control
nonlinear control
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Yuhong Guo
Carleton University Canada
self-supervised learning
reinforcement learning
continual learning
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Congcong Sun
Wageningen University & Research Netherlands
reinforcement learning
intelligent control systems
process control
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