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Robots can now learn complex manipulation tasks from scratch using only video and language, bypassing the need for hand-engineered reward functions, demonstrations, or even task-specific tuning.
Forget retraining: a single, carefully chosen noise vector can boost your robot's pre-trained policy performance by up to 60% in the real world.
