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cs.LG2026
QPILOTS: Efficient Test-Time Q-Steering for Flow Policies
Yifan Ruan, Chenyang Cao, Andreas Burger +7
Flow-matching and diffusion policies are expressive action generators, but optimizing them with temporal-difference reinforcement learning (RL) remains difficult. Effective policy…
cs.LG2025
Learning from Oblivion: Predicting Knowledge Overflowed Weights via Retrodiction of Forgetting
Jinhyeok Jang, Jaehong Kim, Jung Uk Kim
Pre-trained weights have become a cornerstone of modern deep learning, enabling efficient knowledge transfer and improving downstream task performance, especially in data-scarce sc…