AlphaNIST: Reinforcement Learning for High-Precision Robotic Assembly

AlphaNIST applies reinforcement learning to achieve high-precision robotic assembly through end-to-end policy learning without human demonstrations. The system uses binary task rewards and diverse simulation experiences to solve complex assembly tasks with emergent manipulation skills.

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