The linear quadratic regulator (LQR) problem is a cornerstone of automatic control, and it has been widely studied in the data-driven setting. various approaches can be classified as indirect (i.e., based on an identified model) versus direct or robust taking uncertainty into account) certainty-equivalence. Here we show how to bridge these different formulations propose novel, direct, regulariz...