Before revision:  We can then train policies achieving \sim 200  %DIF < improvement over the suboptimal demonstration and \sim 90\\% improvement over prior work.
After revision:  We can then train policies achieving ~ 200  %DIF < improvement over the suboptimal demonstration and \sim 90\\% improvement over prior work.