L4DC 2026: 8th Annual Learning for Dynamics and Control Conference

L4DC 2026: 8th Annual Learning for Dynamics and Control Conference is a premier interdisciplinary venue that brings together machine learning and control theory researchers to tackle the challenge of learning-enabled autonomous systems. Since its founding, L4DC has championed the integration of data-driven methods with the mathematical rigor of dynamical systems and control.

Topics include reinforcement learning for control, model-based and model-free RL, system identification, safe and robust adaptive control, Gaussian process dynamics models, physics-informed neural networks, and applications to robotics, autonomous vehicles, and aerospace. Control engineers, machine learning researchers, and applied mathematicians will all find L4DC a intellectually stimulating venue where formal guarantees and empirical performance are equally valued. Graduate students at the intersection of learning and control are particularly encouraged to submit their work.

machine learning for control reinforcement learning dynamical systems data-driven optimization system identification safe adaptive control physics-constrained modeling robotics