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robot-locomotion

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papersTODAY 04:00 UTC

arXiv Paper Proposes Skill Composition for Legged Robot Reinforcement Learning

A new arXiv preprint describes a method for combining individually trained controllers into composed behaviors for legged and humanoid robots. The authors note that specialized skills are fast to train and converge reliably because each addresses a narrow problem. The work is categorized under cross-listings on arXiv's cs.AI section.

robotics/reinforcement-learning/skill-composition/research