We invite submissions of papers addressing topics including:
System identification and learning of dynamic models
Optimization for machine learning and vice versa
Data-driven control and optimization for dynamical systems
Agentic AI and algorithmic robustness
Reinforcement learning and adaptive control
Statistical learning for dynamical and control systems
Machine learning for reduced-order modeling and physics-constrained systems
Physical learning in dynamical and control systems applications in robotics, autonomy, biology, energy systems, transportation systems, cognitive systems, neuroscience, etc.
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.
Papers are to be submitted on OpenReview using the provided L4DC LaTeX template.
All papers must be written in English and be uploaded in PDF format.
Submissions are limited to 10 pages, including all figures, tables, conclusions, etc, with unlimited allowance for references. Acknowledgments do not count toward the page limit.
The use of generative AI tools is allowed as long as authors are transparent about their use and remain responsible for the accuracy and integrity of the submitted work.
Authors may include supplementary material (long proofs, additional experimental results, etc), but reviews and acceptance decisions will be based only on the submitted paper (10 pages). The supplementary material must be submitted along with the main paper in the submission portal.
L4DC reviewing is single-blind.
All accepted papers will be presented as posters at the conference. A selected set of papers deemed particularly exceptional by the program committee will be presented as oral talks.
Please contact the conference organizers if you have any questions.
Full paper submission deadline: November 13, 2026
Paper Decision: January 25, 2027
Registration Opens: March 2027
Late-Breaking Results: April 5, 2027
Camera-Ready: April 19, 2027