Topics at the Intersection of Control, Dynamics, and Learning from Data

Explore key concepts at the intersection of control, dynamics, and data-driven learning in this 42-minute conference talk by Eduardo Sontag from Northeastern University. Delivered as part of the Fourth Symposium on Machine Learning and Dynamical Systems at the Fields Institute, the presentation delves into various topics that bridge the gap between traditional control theory, dynamic systems, and modern machine learning approaches. Gain insights into how these interdisciplinary fields are converging to solve complex problems and advance our understanding of system behavior and optimization.

Several topics at the intersection of control, dynamics, and learning from data