most citedLearning Reward for Robot Skills Using Large Language Models via Self-Alignment

2 citations · 3 across the 2 of their papers we have counts for

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cs.RO2024★ 2 cited

Learning Reward for Robot Skills Using Large Language Models via Self-Alignment

Yuwei Zeng, Yao Mu, Lin Shao

Learning reward functions remains the bottleneck to equip a robot with a broad repertoire of skills. Large Language Models (LLM) contain valuable task-related knowledge that can po…

cs.RO2023★ 1 cited

Learning Reward for Physical Skills using Large Language Model

Yuwei Zeng, Yiqing Xu

Learning reward functions for physical skills are challenging due to the vast spectrum of skills, the high-dimensionality of state and action space, and nuanced sensory feedback. T…