Fast Online Learning with Gaussian Prior-Driven Hierarchical Unimodal Thompson Sampling

Tianchi Zhao, He Liu, Hongyin Shi +1

We study a type of Multi-Armed Bandit (MAB) problems in which arms with a Gaussian reward feedback are clustered. Such an arm setting finds applications in many real-world problems…