A key question in flow control is that of the design optimal controllers when space high-dimensional and experimental or computational budget limited. We address this formidable challenge using a particular flavor machine learning present first application Bayesian optimization to open-loop for fluid flows. consider range acquisition functions, including recently introduced output-informed crit...