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pro vyhledávání: '"Zheng, Bill Chunyuan"'
Learned language-conditioned robot policies often struggle to effectively adapt to new real-world tasks even when pre-trained across a diverse set of instructions. We propose a novel approach for few-shot adaptation to unseen tasks that exploits the
Externí odkaz:
http://arxiv.org/abs/2408.16228