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Compared with traditional reinforcement learning, imitation learning typically requires only tens to hundreds of demonstration trajectories for a robotic arm to learn grasping and placing, whereas reinforcement learning typically requires defining a reward function in a simulation environment and having the agent repeatedly trial and error, with sample sizes often in the millions.
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10/13/2026
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