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Benjamin Rosman: Exploiting Structure For Accelerating Reinforcement Learning
Benjamin Rosman

Sat Jun 15 04:40 PM -- 05:05 PM (PDT) @ None

Author Information

Benjamin Rosman (University of the Witwatersrand / CSIR, South Africa)

Benjamin Rosman received a Ph.D. degree in Informatics from the University of Edinburgh in 2014. Previously, he obtained an M.Sc. in Artificial Intelligence from the University of Edinburgh, a Bachelor of Science (Honours) in Computer Science from the University of the Witwatersrand, South Africa, and a Bachelor of Science (Honours) in Computational and Applied Mathematics, also from the University of the Witwatersrand. He is an Associate Professor in the School of Computer Science and Applied Mathematics at the University of the Witwatersrand. He is the Chair of the IEEE South African joint chapter of Control Systems, and Robotics and Automation. Prof. Rosman’s research interests focus primarily on learning and decision making in autonomous systems, in particular studying how learning can be accelerated through abstracting and generalising knowledge gained from solving previous problems. He additionally works in the area of skill and behaviour learning for robots.

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