arXiv Machine Learning August 12, 2026 By Jusuk Lee, Daesol Cho, Jonghun Shin, Seungyeon Yoo, Jonghae Park, Taekbeom Lee, H. Jin Kim

BooST: Bridging Semantics and Motions for Efficient Skill Transfer

Read the original on arXiv Machine Learning →

arXiv:2608. 10600v1 Announce Type: cross Abstract: Skill abstraction---the process of learning reusable and temporally extended behaviors---has emerged as a key paradigm for improving sample efficiency and generalization in robot learning.

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