Multiagent Learning Professors in Global

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Nina Gierasimczuk
Technical University of Denmark Denmark
multi-agent systems
action model learning
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Erandi Hene Kankanamge
University of New South Wales Australia
multi-agent systems
multi-objective optimization
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Suruz Miah
University of Ottawa Canada
multi-agent systems
machine intelligence
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Anna Gautier
Chalmers University of Technology Sweden
multi-agent systems
multi-robot systems
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Ani Hsieh
University of Pennsylvania United States of America
multi-agent systems
multi-robot systems
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Vijay Kumar
University of Pennsylvania United States of America
multi-agent systems
multi-robot systems
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Boi Faltings
École Polytechnique Fédérale de Lausanne Switzerland
multi-agent systems
adaptive software agents
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Hooman Askari Nasab
University of Alberta Canada
intelligent multi-agent systems
multi-objective optimization
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Sanjay Modgil
King's College London United Kingdom
multi-agent dialogue
agent reasoning
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Tomas Raattamaa
Umeå University Sweden
agent-based modeling
principal-agent models
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Danièle Moore
Simon Fraser University Canada
multilingual language acquisition
plurilingual interactions
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Somnath Ghosh
Johns Hopkins University United States of America
multiscale modeling
multi-physics modeling
machine learning
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Mobarak Hoque
University of Manchester United Kingdom
agent-based ai
multimodal large language models
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Christopher Peters
KTH Royal Institute of Technology Sweden
socially interactive agents
multimodal interaction
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Olaf Schenk
Università della Svizzera italiana Switzerland
multicore algorithms
manycore algorithms
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Olaf Schenk
Università della Svizzera italiana Switzerland
multicore algorithms
manycore algorithms
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Guanchen Li
University of Glasgow United Kingdom
multiphysics simulation
machine learning
multiscale engineering
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Nathalie Kirchmeyer
Royal Institute of Technology Sweden
multilingualism
blended learning
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Michael Bowling
University of Alberta Canada
multiagent learning
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Chi Jin
Princeton University United States of America
multiagent learning
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Peter Stone
University of Texas at Austin United States of America
multiagent learning
multiagent systems
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