19 citations · 26 across the 11 of their papers we have counts for
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cs.LG2024★ 1 cited
Adaptive Preference Scaling for Reinforcement Learning with Human Feedback
Ilgee Hong, Zichong Li, Alexander Bukharin +4
Reinforcement learning from human feedback (RLHF) is a prevalent approach to align AI systems with human values by learning rewards from human preference data. Due to various reaso…
cs.RO2024★ 6 cited
DBPF: A Framework for Efficient and Robust Dynamic Bin-Picking
Yichuan Li, Junkai Zhao, Yixiao Li +4
Efficiency and reliability are critical in robotic bin-picking as they directly impact the productivity of automated industrial processes. However, traditional approaches, demandin…