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 …

A recent line of research focuses on the study of stochastic multi-armed bandits (MAB), in the
case where temporal correlations of specific structure are imposed between the player's …

In a recent work, Laforgue et al. introduce the model of last switch dependent (LSD) bandits,
in an attempt to capture nonstationary phenomena induced by the interaction between the …

Motivated by emerging applications such as live-streaming e-commerce, promotions and
recommendations, we introduce a general class of multi-armed bandit problems that have …

This study considers a novel problem setting, referred to as\textit {bandit task assignment},
that incorporates the processing time of each task in the bandit setting. In this problem …

Metaverse has been viewed as the next generation of human-computer interaction, which
requires collecting information from both the physical and virtual world. One potential way is …

We study fully dynamic online selection problems in an adversarial/stochastic setting that
includes Bayesian online selection, prophet inequalities, posted price mechanisms, and …

The stochastic multi-armed bandit setting has been recently studied in the non-stationary
regime, where the mean payoff of each action is a non-decreasing function of the number of …

As data becomes more readily available, individuals and organisations are increasingly
relying on automated systems to make decisions on their behalf. Both machine learning and …

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 …