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Multi Agent Reinforcement Learning
Multi Agent Reinforcement Learning Professors in Global
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Professor
Nicholas Rhinehart
University of Toronto
Canada
reinforcement learning
robot learning
imitation learning
machine learning
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Professor
Yulun Tian
University of Michigan
United States of America
mapping single multi-agent systems
robot learning
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Professor
Samuel Ajila
Carleton University
Canada
multi-modal learning applications
machine learning
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Professor
Alan Reynolds
University of Bristol
United Kingdom
multi-objective optimization
machine learning
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Professor
Hicham Chaoui
Carleton University
Canada
multi-objective optimization
machine learning
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Professor
Kalyanmoy Deb
Michigan State University
United States of America
multi-objective optimization
machine learning
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Professor
Guanchen Li
University of Glasgow
United Kingdom
multiphysics simulation
machine learning
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Professor
Shahab Bakhtiari
University of Montreal
Canada
visual system learning
machine learning
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Professor
Ali Ahrari
University of New South Wales
Australia
multi-objective optimization
multi-modal optimization
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Professor
Mats Tysklind
Umeå University
Sweden
multivariate structure-activity modeling
machine learning
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Professor
Shaofan Li
University of California, Berkeley
United States of America
multiscale simulation
machine learning
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Professor
Moez Ali
Queen's University
Canada
automated machine learning
machine learning
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Professor
Holger Hoos
RWTH Aachen University
Germany
automated machine learning
machine learning
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Professor
Joaquin Vanschoren
Eindhoven University of Technology
Belgium
automated machine learning
machine learning
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Professor
Mikhail Khodak
University of Wisconsin–Madison
United States of America
automated machine learning
machine learning
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Professor
Linus Ericsson
University of Glasgow
United Kingdom
multi-modal learning
automated machine learning
machine learning
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Professor
Mohamed Abdelfattah
Cornell University
Netherlands
automated machine learning
machine learning
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Professor
Merve Bodur
University of Edinburgh
United Kingdom
multiobjective optimization
machine learning
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Professor
Merve Bodur
University of Edinburgh
United Kingdom
multiobjective optimization
machine learning
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Professor
John Yen
Pennsylvania State University
United States of America
deep representation learning
machine learning
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Professor
Alessio Gagliardi
Technical University of Munich
Germany
multiscale modeling
machine learning
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