Agent Learning Professors in Global

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C. Green
University of Wisconsin–Madison United States of America
human learning
motor learning
transfer learning
cognitive learning
rate learning
perceptual learning
depth learning
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Yuhong Guo
Carleton University Canada
representation learning
active learning
reinforcement learning
machine learning
artificial intelligence
federated learning
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Brandon Haworth
University of Victoria Canada
agent-based modelling
multi-agent reinforcement learning
deep learning
augmented intelligence
artificial intelligence
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Jamal Bentahar
Concordia University Canada
agent-based software engineering
intelligent agents
multi-agent systems
artificial intelligence
multi-agent interaction
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Honglak Lee
University of Michigan United States of America
representation learning
machine learning
deep learning
large-scale learning
artificial intelligence
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Panayiotis Danassis
University of Southampton United Kingdom
intelligent agents
reinforcement learning
agentic ai
multi-agent systems
artificial intelligence
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Pascal Vincent
University of Montreal Canada
representation learning
machine learning
deep learning
pattern recognition
artificial intelligence
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Kin-choong Yow
University of Regina Canada
machine learning
deep learning
pattern recognition
deep reinforcement learning
artificial intelligence
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Junfeng Wen
Carleton University Canada
reinforcement learning
transfer learning
machine learning
artificial intelligence
federated learning
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Maryam Fazel
University of Washington United States of America
reinforcement learning
machine learning
deep learning
learning control
artificial intelligence
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Giorgia Ramponi
University of Zurich Switzerland
multi-agent learning
imitation learning
reinforcement learning
machine learning
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Alison Heppenstall
University of Glasgow United Kingdom
agent-based modelling
reinforcement learning
machine learning
artificial intelligence
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Sindri Magnússon
Stockholm University Sweden
multi-agent learning
reinforcement learning
machine learning
artificial intelligence
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Wendelin Böhmer
Delft University of Technology Netherlands
multi-agent reinforcement learning
reinforcement learning
machine learning
artificial intelligence
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Kevin Luck
Vrije Universiteit Amsterdam Netherlands
robot learning
reinforcement learning
deep learning
deep reinforcement learning
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Jason Lee
University of California, Berkeley United States of America
representation learning
reinforcement learning
machine learning
deep learning
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Jakob Foerster
University of Oxford United Kingdom
multi-agent learning
machine learning
deep reinforcement learning
artificial intelligence
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Jason Lee
University of California, Berkeley United States of America
representation learning
reinforcement learning
machine learning
deep learning
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Francois Rivest
Royal Military College of Canada Canada
animal learning
reinforcement learning
machine learning
artificial intelligence
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Kurt Driessens
Maastricht University Netherlands
reinforcement learning
relational learning
transfer learning
machine learning
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Guilherme Dinis Chaliane Junior
Stockholm University Sweden
representation learning
reinforcement learning
machine learning
multi-agent problems
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