Shayegan Omidshafiei is a research scientist at DeepMind Paris. His research interests include multiagent systems, reinforcement learning, robotics, and control systems. He previously received his Ph.D. at the Laboratory for Information and Decision Systems (LIDS) and Aerospace Controls Laboratory (ACL) at MIT. He received a B.A.Sc. degree from the University of Toronto in 2012, and an S.M. degree in Aeronautics and Astronautics from MIT in 2015. He is co-inventor of 5 patents filed with the United States Patent Office. His recent joint work on learning to teach in multiagent systems received honorable mention for best student paper at AAAI 2019.
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