Control Meets Learning
Virtual Seminar Series on the Intersection of Control and Learning
The seminar series is broadly focused on the intersection of control theory and machine learning. It covers a wide range of topics including, but not limited to, learning for dynamical systems, online learning and control, control-theoretic perspectives on deep learning, reinforcement learning, and applications to various real-world systems.
The seminar series is broadly focused on the intersection of control theory and machine learning. It covers a wide range of topics including, but not limited to, learning for dynamical systems, online learning and control, control-theoretic perspectives on deep learning, reinforcement learning, and applications to various real-world systems.
Wednesday 9 a.m. – 10 a.m. (Pacific Time)
Wednesday 9 a.m. – 10 a.m. (Pacific Time)
Zoom link: (June 9) https://caltech.zoom.us/j/84763843230
YouTube live stream: (June 9) https://youtu.be/9IULAYjO0Zg
Please join the Google group below to receive all future talk announcements.
Recent Speakers
Recent Speakers
Steve Brunton
Steve Brunton
University of Washington
University of Washington
May 5
Jonathan How
Jonathan How
MIT
MIT
May 12
Andreas Krause
Andreas Krause
ETH Zurich
ETH Zurich
June 2
Miroslav Krstic
Miroslav Krstic
UCSD
UCSD
June 9
Organizers
Organizers
Navid Azizan (MIT)
Guannan Qu (Caltech)
Guanya Shi (Caltech)
Yuanyuan Shi (Caltech/UCSD)
Advisory Board
Advisory Board
Anima Anandkumar (Caltech/Nvidia)
John Doyle (Caltech)
Ali Jadbabaie (MIT)
Na (Lina) Li (Harvard)
Benjamin Recht (UC Berkeley)
Adam Wierman (Caltech)
Supported by
Supported by
Contact: controlmeetslearning@gmail.com
Twitter: @ControlMeetsML