frontiers4lcd.github.io - New Frontiers in Learning, Control, and Dynamical Systems

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Workshop at the International Conference on Machine Learning (ICML) 2023

Recent advances in algorithmic design and principled, theory-driven deep learning architectures have sparked a growing interest in control and dynamical system theory. Complementary, machine learning plays an important role in enhancing existing control theory algorithms in terms of performance and scalability. The boundaries between both disciplines are blurring even further with the rise of modern reinforcement learning, a field at the crossroad of data-driven control theory and machine learning. This wor

We invite researcher in machine learning, control, and dynamical systems to submit their latest works to our workshop. Topics include but are not limited to (see Call for Papers for more details):

Links to frontiers4lcd.github.io (8)

• bamos.github.io Brandon Amos
• pratikac.github.io Pratik Chaudhari
• bunne.ch Charlotte Bunne
• ghliu.github.io Guan-Horng Liu
• igashov.github.io Ilia Igashov
• kilianfatras.github.io Kilian Fatras
• tksmatsubara.github.io Takashi Matsubara
• avivr.net Aviv A. Rosenberg