Experiment Design with Gaussian Process Regression with Applications to Chance-Constrained Control

Sean Anderson, Katie Byl, João P. Hespanha

Learning for control in repeated tasks allows for well-designed experiments to gather the most useful data. We consider the setting in which we use a data-driven controller that do…