We invite submissions of short papers addressing topics including:
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.
All accepted papers will be presented as posters at this conference. A selected set of 10 papers deemed particularly exceptional by the program committee will be presented as 15 minute oral talks. At least one of each paper’s authors should be present at the conference to present the work. Accepted papers will be published electronically in the Proceedings of Machine Learning Research (PMLR). The authors of accepted papers will have the option of opting-out of the proceedings in favor of a 1-page extended abstract. The full paper reviewed will then be placed on the arXiv repository but not indexed by the conference.
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.
We maintains a policy of strict confidentiality for all conference submissions. You need to notify your reviewers that they cannot disclose or make inappropriate use of the content before publication.