2 papers
cs.RO2025
Learning Generalizable Visuomotor Policy through Dynamics-Alignment
Dohyeok Lee, Jung Min Lee, Munkyung Kim +6
Behavior cloning methods for robot learning suffer from poor generalization due to limited data support beyond expert demonstrations. Recent approaches leveraging video prediction…
cs.LG2025
Policy-labeled Preference Learning: Is Preference Enough for RLHF?
Taehyun Cho, Seokhun Ju, Seungyub Han +3
To design rewards that align with human goals, Reinforcement Learning from Human Feedback (RLHF) has emerged as a prominent technique for learning reward functions from human prefe…