ADEPT: Sim Pre-training for Zero-Shot Visuo-Tactile Dexterity

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ADEPT introduces a pre-training and post-training paradigm: robot hands acquire general dexterity via reinforcement learning entirely in simulation, then zero-shot deploy visuo-tactile policies to the real world, reusing learned dexterity to pick up downstream tasks much faster.