Author

Danny H. K. Tsang

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#machine learning Preprint Oct 2026

ML-OPF-Bench: Benchmarking Machine Learning for Optimal Power Flow

Machine Learning (ML) methods promise a fast solution process for Optimal Power Flow (OPF). While inconsistent test cases, implementations, and evaluation metrics across existing studies make it challenging to determine which algorithmic advances are most critical for real-world deployment. To this end, we propose ML-O...

Xin-Yi Liu, Xuan He, Danny H. K. Tsang et al. · 0 citations

Preprint Aug 2026

Beyond Imitation: Filtering On-Policy Distillation by Reasoning Progress

This work proposes Reasoning-Progress-Aware Reward Filtering for On-Policy Distillation (R2-OPD), which constructs two within-trajectory rankings of reasoning spans, one from teacher-derived rewards and the other from independently estimated progress reward.

Chen Yang, Hai-Yuan Wan, Rengrong Xiong et al. · 2 citations