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Author

Hai-Peng Luo

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Preprint Nov 2026

Near-Optimal $\sqrt{K}$-Regret for Online Learning in Uninformed Markov Games

We study online learning in two-player uninformed Markov games, where the opponent may follow an arbitrary, unknown policy in each episode and the learner does not observe the opponent's actions. [TWYS21] showed that achieving sublinear external regret requires an exponential dependence on the episode length $H$. Motiv...

Jun-Yan Liu, Hai-Peng Luo, Lillian J. Ratliff et al. · 0 citations
#machine learning Preprint Jul 2025

From Dueling Bandits to Episodic MDPs: Learning with Adversarial Preference Feedback

This paper asks what changes when the compared pair also affects the next state, as in a recommendation interface where the pair shown to a user affects the user's next context, and formulate this problem as a state-wise preference-based MDP, an episodic tabular MDP in which the learner selects a pair of arms at each v...

Taira Tsuchiya, Shinji Ito, Hai-Peng Luo · 2 citations

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