23 citations · 26 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 3 cited
Online Preselection with Context Information under the Plackett-Luce Model
Adil El Mesaoudi-Paul, Viktor Bengs, Eyke Hüllermeier
We consider an extension of the contextual multi-armed bandit problem, in which, instead of selecting a single alternative (arm), a learner is supposed to make a preselection in th…
cs.LG2018★ 23 cited
Preference-based Online Learning with Dueling Bandits: A Survey
Viktor Bengs, Robert Busa-Fekete, Adil El Mesaoudi-Paul +1
In machine learning, the notion of multi-armed bandits refers to a class of online learning problems, in which an agent is supposed to simultaneously explore and exploit a given se…