2 papers
cs.LG2024
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…
cs.LG2023
Best-of-Both-Worlds Linear Contextual Bandits
Masahiro Kato, Shinji Ito
This study investigates the problem of -armed linear contextual bandits, an instance of the multi-armed bandit problem, under an adversarial corruption. At each round, a decisio…