9th Annual Learning for Dynamics & Control Conference
Stockholm, Sweden
June 16-18, 2027
9th Annual Learning for Dynamics & Control Conference
Stockholm, Sweden
June 16-18, 2027
The explosion of real-time data arising from devices that sense and control the physical world requires improving synergy in research areas such as machine learning, control theory, and optimization. While control theory has been firmly rooted in the tradition of model-based design, the availability and scale of data (both temporal and spatial) will require rethinking the foundations of the discipline. From a machine learning perspective, one of the main challenges going forward is to go beyond pattern recognition and address problems in data-driven control and optimization of dynamical processes. Our conference has been building a new community of people who think rigorously across the disciplines, ask new questions, and develop the foundations of this new scientific area.
Paper submission: Nov 13, 2026
Paper decision: Jan 25, 2027
Late-breaking results: Apr 5, 2027
Camera-ready: Apr 19, 2027
A "call for papers flyer" (PDF) is available here.
Please submit your paper using the provided L4DC LaTeX template on OpenReview.net.
The conference is open to topics on the interface between machine learning, control, optimization, and their applications. We welcome theoretical, applied, and empirical contributions from academia and industry.
2026 8th L4DC at University of Southern California, Los Angeles, USA
2025 7th L4DC at University of Michigan, Ann Arbor, USA
2024 6th L4DC at University of Oxford, UK
2023 5th L4DC at University of Pennsylvania, USA
2022 4th L4DC at Stanford University, USA
2021 3rd L4DC at ETH Zurich, Switzerland (virtual)
At the L4DC conference, we aim to create a safe, welcoming, and positive environment that facilitates exchanging ideas and forming professional connections. We expect all participants to be respectful towards each other. The conference will not tolerate harassment, discrimination, or personal attacks. Participants must stop any problematic behavior immediately. If you have concerns about problematic behavior, please notify the L4DC organizers. If you would like to notify the organizers anonymously, a form will be made available on this website before the conference.
It is important to note that problematic communication can occur even without an explicit intent to offend or harass. Hence, we ask that all participants be mindful of how their comments can be interpreted, and err on the side of caution during formal and informal interactions.
L4DC is interdisciplinary, bringing together researchers from control, robotics, machine learning, and optimization. One of the goals of L4DC is to build strong ties between these disciplines and enable active collaboration. Please consider taking on the constructive role of contributing to the community, instead of taking on a critical role to pinpoint flaws and weaknesses in the works of others during the conference. Focusing on weak points could cause others to retreat back to places where they feel comfortable, and instead of interdisciplinary interaction, we could end up with separate sub-clusters of people only interacting within their own fields. So please help us create a positive tone so that it is easy for the participants to leave their comfort zones, gain new perspectives, and form new collaborations.