1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.RO2026
Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons
Anthony Liang, Yigit Korkmaz, Jiahui Zhang +14
General-purpose robot reward models are typically trained to predict absolute task progress from expert demonstrations, providing only local, frame-level supervision. While effecti…
cs.LG2025★ 1 cited
(Mis)Fitting: A Survey of Scaling Laws
Margaret Li, Sneha Kudugunta, Luke Zettlemoyer
Modern foundation models rely heavily on using scaling laws to guide crucial training decisions. Researchers often extrapolate the optimal architecture and hyper parameters setting…