Author

Han Zhong

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#machine learning Preprint Oct 2026

Linear Programming Representations and Strongly Polynomial Algorithms for Robust Markov Decision Processes

We study linear programming (LP) representations and strongly polynomial algorithms for robust Markov decision processes (RMDPs) with rational polyhedral state-action rectangular uncertainty in rewards and transitions. By encoding a finite sequence of robust policy-iteration steps, we construct a single LP whose optima...

Han Zhong, Yin-Yu Ye · 0 citations

#machine learning Preprint Aug 2026

Toward the Optimal Regret-Instability Trade-off in Multi-Armed Bandits

The results resolve the open question raised in the literature concerning the sharp arm-dependent regret--instability frontier and develop a new offline top-prefix representation that removes path dependence from online decisions.

Kai-Fei Wang, Yin-Yu Ye, Han Zhong · 0 citations