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From within a class of covariate-adjusted estimators of the average treatment effect (ATE), I define two that are asymptotically optimal under arbitrary experimental designs. Simulation illustrates the potential for reductions in MSE (relative to OLS or WLS), in particular, for cluster-randomized experiments.