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cs.LG2026
Asymmetric On-Policy Distillation: Bridging Exploitation and Imitation at the Token Level
Nan Jia, Haojin Yang, Xing Ma +6
On-policy distillation (OPD) trains a student on its own trajectories with token-level teacher feedback and often outperforms off-policy distillation and standard reinforcement lea…
cs.LG2024
M-DEW: Extending Dynamic Ensemble Weighting to Handle Missing Values
Adam Catto, Nan Jia, Ansaf Salleb-Aouissi +1
Missing value imputation is a crucial preprocessing step for many machine learning problems. However, it is often considered as a separate subtask from downstream applications such…