3 citations · 16 across the 20 of their papers we have counts for
3 papers · 1 filter
Thompson Sampling-like Algorithms for Stochastic Rising Bandits
Marco Fiandri, Alberto Maria Metelli, Francesco Trovò
Stochastic rising rested bandit (SRRB) is a setting where the arms' expected rewards increase as they are pulled. It models scenarios in which the performances of the different opt…
Rising Rested Bandits: Lower Bounds and Efficient Algorithms
Marco Fiandri, Alberto Maria Metelli, Francesco Trov`o
This paper is in the field of stochastic Multi-Armed Bandits (MABs), i.e. those sequential selection techniques able to learn online using only the feedback given by the chosen opt…
Sliding-Window Thompson Sampling for Non-Stationary Settings
Marco Fiandri, Alberto Maria Metelli, Francesco Trovò
Non-stationary multi-armed bandits (NS-MABs) model sequential decision-making problems in which the expected rewards of a set of actions, a.k.a.~arms, evolve over time. In this pap…