Decentralized Multi Agent Reinforcement Learning Professors in Global

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Brandon Haworth
University of Victoria Canada
multi-agent reinforcement learning
agent-based modelling
deep learning
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Yichen Zhang
Purdue University United States of America
reinforcement learning
multi-task learning
distributed learning
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Kevin Luck
Vrije Universiteit Amsterdam Netherlands
deep reinforcement learning
reinforcement learning
deep learning
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Sriram Subramanian
Carleton University Canada
multi-agent systems
reinforcement learning
deep learning
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Lennart Svensson
Chalmers University of Technology Sweden
reinforcement learning
multi-target tracking
deep learning
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Maria Polukarov
King's College London United Kingdom
multi-agent reinforcement learning
multi-agent systems
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Wendelin Böhmer
Delft University of Technology Netherlands
multi-agent reinforcement learning
reinforcement learning
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Aditya Mahajan
McGill University Canada
multi-agent reinforcement learning
reinforcement learning
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Jakob Foerster
University of Oxford United Kingdom
multi-agent learning
deep reinforcement learning
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Zinovi Rabinovich
Carleton University Canada
multi-agent learning
multi-agent systems
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Sindri Magnússon
Stockholm University Sweden
multi-agent learning
reinforcement learning
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Giorgia Ramponi
University of Zurich Switzerland
multi-agent learning
reinforcement learning
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Giorgia Ramponi
University of Zurich Switzerland
multi-agent learning
reinforcement learning
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Eugene Vinitsky
New York University Tandon School of Engineering United States of America
multi-agent learning
reinforcement learning
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Mingfei Sun
University of Manchester United Kingdom
deep reinforcement learning
multi-agent systems
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Kuangpu Liu
Aalborg University Denmark
deep reinforcement learning
multi-agent systems
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Abhishek Gupta
University of Washington United States of America
deep reinforcement learning
multi-task learning
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Jingrong Wang
Memorial University of Newfoundland Canada
decentralized learning
distributed machine learning
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Morteza Haghir Chehreghani
University of Gothenburg Sweden
deep reinforcement learning
diversity-aware reinforcement learning
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Girish Chowdhary
University of Illinois United States of America
multi-agent coordination
reinforcement learning
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Natasha Jaques
University of Washington United States of America
multi-agent learning
social reinforcement learning
deep learning
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