Experimentation has been critical and increasingly popular across various domains, such as
clinical trials and online platforms, due to its widely recognized benefits. One of the primary …

Non-stationary parametric bandits have attracted much attention recently. There are three
principled ways to deal with non-stationarity, including sliding-window, weighted, and restart …

Stochastic rising rested bandit (SRRB) is a specific bandit setting where the arms' expected
rewards increase as they are pulled. They model scenarios in which the performances of the …

This paper is in the field of stochastic Multi-Armed Bandits (MABs), ie those sequential
selection techniques able to learn online using only the feedback given by the chosen …

We investigate the non-stationary stochastic linear bandit problem where the reward
distribution evolves each round. Existing algorithms characterize the non-stationarity by the …

Experimentation has become increasingly popular across various domains, such as clinical
trials and online platforms, due to its widely recognized benefits. One of the primary …