LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits

Masahiro Kato, Shinji Ito

We investigate the \emph{linear contextual bandit problem} with independent and identically distributed (i.i.d.) contexts. In this problem, we aim to develop a \emph{Best-of-Both-W…