ESE Ph.D. Thesis Defense: “Learning-Enabled Control: Statistical Foundations and Architectures”
ESE Ph.D. Thesis Defense: “Learning-Enabled Control: Statistical Foundations and Architectures”
Zoom link: https://upenn.zoom.us/j/93917708817 Recent advances in learning-enabled control have dramatically expanded the capabilities of autonomous systems, with applications ranging from robots and self-driving cars to industrial automation systems. However, reliable […]
