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arXiv Robotics — research abstracts· Derek You, Zafir Shamsi, Keqin Wang, Christine Allen-Blanchette·· 10 days agoEditorial score19

Higher-Order Morphology Priors for Quadruped Reinforcement Learning

Higher-Order Morphology Priors for Quadruped Reinforcement Learning Under Actuator Degradation

Summary

Study shows higher-order morphology improves quadruped locomotion under actuator degradation. Hodge-based policy outperforms others in survival and tracking accuracy.

Source: arXiv Robotics — research abstracts · Read original article ↗

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Source:arXiv Robotics — research abstracts · arxiv.org

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