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The seminar series is broadly focused on the intersection of control and machine learning. It covers a wide range of topics including, but not limited to, learning for dynamical systems, reinforcement learning, optimal control and model-predictive control, online learning and adaptive control, control-theoretic perspectives on deep learning, and applications to robotics and other various real-world systems.
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