Control Learning Professors in Global

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Pieter Abbeel
University of California, Berkeley United States of America
reinforcement learning
transfer learning
imitation learning
unsupervised learning
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Kartik Ariyur
Purdue University United States of America
control
controls development
integrated controls
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Quan Nguyen
University of Southern California United States of America
control
reinforcement learning
nonlinear control
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Quan Nguyen
University of Southern California United States of America
control
reinforcement learning
nonlinear control
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Florian Shkurti
University of Toronto Canada
control
reinforcement learning
imitation learning
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Florian Shkurti
University of Toronto Canada
control
reinforcement learning
imitation learning
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Mojtaba Ahmadi
Carleton University Canada
control
linear control
real-time control
nonlinear control
distributed control
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Dimitra Panagou
University of Michigan United States of America
coordination control
distributed control
decentralized control
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Giancarlo Ferrari Trecate
École Polytechnique Fédérale de Lausanne Switzerland
neural-network control
dependable control
automatic control
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Richard Linares
Massachusetts Institute of Technology United States of America
reinforcement learning
optimal control
estimation controls
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Pascal Poupart
University of Waterloo Canada
self-supervised learning
shot learning
reinforcement learning
causal learning
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Matthew Howard
King's College London United Kingdom
reinforcement learning
optimal control
imitation learning
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Michael Fisher
University of Waterloo Canada
optimal control
nonlinear control
distributed control
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Michael Fisher
University of Waterloo Canada
optimal control
nonlinear control
distributed control
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Camillo Taylor
University of Pennsylvania United States of America
learning control systems
perception-based control
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Guannan Qu
Carnegie Mellon University United States of America
control
reinforcement learning
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Zaiwei Chen
Purdue University United States of America
control
reinforcement learning
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Professor
University of Sherbrooke Canada
No active positions
control
reinforcement learning
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Guannan Qu
Carnegie Mellon University United States of America
control
reinforcement learning
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Aditya Mahajan
McGill University Canada
control
reinforcement learning
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Cyrus Neary
University of British Columbia Canada
control
reinforcement learning
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