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Stop letting your robot policies overfit to irrelevant background details: DRAIL aggressively randomizes task-irrelevant regions during training, leading to more robust vision-based imitation learning.
Robots can learn significantly better from human demonstrations when the humans receive real-time feedback about whether the robot can actually perform the demonstrated actions.
