Before revision:  One implication is that a substantial reduction in the variance of the out-of-sample reward (i.e. sensitivityof the expected reward to model misspecification) is possible at little cost if the robustness parameter is properly calibrated.
After revision:  One implication is that substantial variance (sensitivity) reduction is possible at little cost if the robustness parameter is properly calibrated.