Kolloquium SoSe 2019
Prof. Dr. Ulf Brefeld
Leuphana Universität Lüneburg
When: Mo, 13.05.2019, at 17:00
Where: Room B-201
Analyzing Positional Data from Soccer Games with Deep Reinforcement Learning
Positional data are regularly recorded in many soccer leagues such as Bundesliga. The data is captured at 25fps and contains x/y coordinates of all players and the ball. Today, positional data is mainly used for heat maps showing the whereabouts and statistics about the number of kilometers covered by a player. In this talk, I will show that the data can actually be used for more sophisticated analyses using state-of-the-art deep architectures. I will show examples dealing with player movement models, controlled zones, and predictions of player actions.
Ulf Brefeld is a professor for Machine Learning at Leuphana Universität Lüneburg. Prior to joining Leuphana, He was joint professor for Knowledge Mining & Assessment at TU Darmstadt and at the German Institute for Educational Research (DIPF), Frankfurt am Main. Before, he led the Recommender Systems group at Zalando SE and worked on machine learning at Universität Bonn, Yahoo! Research Barcelona, Technische Universität Berlin, Max Planck Institute for Computer Science in Saarbrücken, and at Humboldt-Universität zu Berlin. He received a Diploma in Computer Science in 2003 from Technische Universität Berlin and a Ph.D. (Dr. rer. nat.) in 2008 from Humboldt-Universität zu Berlin.
Prof. Dr. Mathias Fischer
Vortrag bei Lecture2Go
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