Doubly robust (DR) estimators use both a propensity model and an outcome model. If either is correctly specified (not necessarily both), the treatment effect estimate can be consistent. That is valuable in high-dimensional settings.
DR-learner and related methods in the EconML family implement this logic with machine learning for the nuisance models.