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Jing-Xin Zhan

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Preprint Aug 2026

Does 1/2-Tsallis-INF Also Work Well for Best-Arm Identification?

A Lyapunov function is constructed for the gap process between the estimated cumulative loss of the optimal arm and that of the best competing arm, and establishes a lower bound on the exponent of $\operatorname{Err}_t$ for any $\rho>0$, showing that the exponent $2$ is essentially tight.

Jingxin Zhan, Yuze Han, Zhihua Zhang · 0 citations