Author

Zihan Zhang

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#machine learning Preprint Sep 2026

Optimal Multi-Reward Reinforcement Learning

We study an unknown-transition finite-horizon Markov decision process (MDP) with a finite collection of known reward functions $\{r^1, r^2, \ldots, r^M\}$. The goal is to output an $\epsilon$-optimal policy for every reward using online episodic interaction only. Performance is measured by the policy error $V_{0}^{*, m...

Zi-Jun Chen, Zi-Han Zhang · 0 citations

Jul 2026

Asymptotically Optimal Regret for Reinforcement Learning without Horizon Dependence

A new bound on total deviation for time-homogeneous MDPs is proved and a cutting bonus that preserves both optimism and the monotonicity needed for planning is designed that preserves both optimism and the monotonicity needed for planning.

Runlong Zhou, Zi-Han Zhang, Maryam Fazel et al. · arXiv.org · 0 citations