4th Conference on Learning for Dynamics and Control, L4DC 2022, Stanford University
Call for Papers: 4th Annual Conference on Learning for Dynamics and Control, L4DC 2022
Stanford University, CA, USA, June 27-28, 2022
Submission Deadline: November 30, 2021
https://l4dc.stanford.edu/
On behalf of the Organizing Committee, it is our pleasure to invite you to contribute
to and participate in the 2022 Conference on Learning for Dynamics and Control, which will take place in Stanford, CA, on June 27-28, 2022.
L4DC is an interdisciplinary venue for researchers at the intersection of machine learning, control, system theory, optimization, and related areas. It was launched in 2019 to create a new community of people that thinks rigorously across the disciplines, asks new questions, and develops the foundations of this new scientific area.
In addition to a series of invited talks, we again invite submissions of short papers. The deadline for paper submission is November 30, 2021.
Topics: We invite submissions of short papers addressing topics including:
• Foundations of learning of dynamics models
• System identification
• Optimization for machine learning
• Data-driven optimization for dynamical systems
• Distributed learning over distributed systems
• Reinforcement learning for physical systems
• Safe reinforcement learning and safe adaptive control
• Statistical learning for dynamical and control systems
• Bridging model-based and learning-based dynamical and control systems
• Physics-constrained learning
• Physical learning in dynamical and control systems applications in robotics, autonomy, transportation systems, cognitive systems, cognitive systems, neuroscience, etc.
While the conference is open to any topic on the interface between machine learning, control, optimization, and related areas, its primary goal is to address scientific and application challenges in real-time physical processes modeled by dynamical or control systems.
Publication and presentation: All accepted papers will be presented as posters at this conference. A selected set of papers deemed particularly exceptional by the program committee will be presented as oral talks. At least one of each paper’s authors should present the work. Accepted papers will be published electronically in the Proceedings of Machine Learning Research (PMLR).
Dual Submission Policy: Submissions that are substantially similar to papers that have been previously published, accepted for publication, or submitted in parallel to other peer-reviewed conferences with proceedings or journals may not be submitted to L4DC.
Please find more information on the website: https://l4dc.stanford.edu/
We look forward to meeting you at L4DC 2022 at Stanford University!
Organizing Committee (Stanford University):
Mykel Kochenderfer
Jeannette Bohg
Mac Schwager
Rika Antonava
Roya Fallah Firoozi
Esen Yel
Steering Committee:
Melanie Zeilinger (ETH Zurich)
John Lygeros (ETH Zurich)
Ben Recht (UC Berkeley)
Claire Tomlin (UC Berkeley)
Ali Jadbabaie (MIT)
George Pappas (University of Pennsylvania)
Pablo Parrilo (MIT)
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