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cs.RO2025
From Vague Instructions to Task Plans: A Feedback-Driven HRC Task Planning Framework based on LLMs
Afagh Mehri Shervedani, Matthew R. Walter, Milos Zefran
Recent advances in large language models (LLMs) have demonstrated their potential as planners in human-robot collaboration (HRC) scenarios, offering a promising alternative to trad…
cs.LG2025
Active Advantage-Aligned Online Reinforcement Learning with Offline Data
Xuefeng Liu, Hung T. C. Le, Siyu Chen +4
Online reinforcement learning (RL) enhances policies through direct interactions with the environment, but faces challenges related to sample efficiency. In contrast, offline RL le…