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The core challenge faced by reinforcement learning in robotics is extremely low sample efficiency—having a real robot perform millions of trial-and-error attempts is time-consuming and risks hardware wear—which has driven sim-to-real transfer and offline reinforcement learning to become research hotspots.
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Relevance
7/14/2026
First Seen
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Vizuara机器人学习课程笔记获取指南与免费资源推荐
redditr/deeplearning7/12/2026
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