Theoretical Reinforcement Learning Professors in Global

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Yee Teh
University of Oxford United Kingdom
probabilistic learning
machine learning
deep learning
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Sun-yuan Kung
Princeton University United States of America
structural learning
machine learning
deep learning
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Oisin Mac Aodha
University of Edinburgh United Kingdom
machine learning
machine teaching
deep learning
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Wei Hu
University of Michigan United States of America
machine learning
deep learning
theoretical foundations of machine learning
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Alain Tapp
Université de Montréal Canada
machine learning
deep learning
theoretical computer science
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Lisa Delsignore
Yale University United States of America
test-enhanced learning
cognitive learning theories
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Ola Engkvist
University of Gothenburg Sweden
diversity-aware reinforcement learning
machine learning
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Morteza Haghir Chehreghani
University of Gothenburg Sweden
deep reinforcement learning
diversity-aware reinforcement learning
tactical decision making
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Ali Gooya
University of Glasgow United Kingdom
deep probabilistic learning
machine learning
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Young Wu
University of Wisconsin United States of America
adversarial multi-agent reinforcement learning
machine learning
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Kurt Driessens
Maastricht University Netherlands
reinforcement learning
relational learning
machine learning
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Kurt Driessens
Maastricht University Netherlands
reinforcement learning
relational learning
machine learning
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Guillaume Obozinski
École Polytechnique Fédérale de Lausanne Switzerland
relational learning
machine learning
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Charles Kemp
University of Melbourne Australia
relational learning
computational models of learning
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John Yen
Pennsylvania State University United States of America
deep representation learning
machine learning
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Chiheb Ben Hammouda
Utrecht University Netherlands
optimal control reinforcement learning
machine learning
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Xiaojin Zhu
University of Wisconsin–Madison United States of America
learning game theory
machine learning
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V. Saxena
Maastricht University Netherlands
multimodal representational learning
machine learning
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Babak Salimi
University of California, San Diego United States of America
theoretical data management
machine learning
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Tommy Löfstedt
Umeå University Sweden
reinforcement learning
bayesian federated learning
machine learning
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Iason Kokkinos
University College London United Kingdom
weakly-supervised learning
deep learning
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