19 citations · 55 across the 12 of their papers we have counts for
3 papers · 2 filters
Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling
Emilie Kaufmann, Wouter Koolen, Aurelien Garivier
Learning the minimum/maximum mean among a finite set of distributions is a fundamental sub-task in planning, game tree search and reinforcement learning. We formalize this learning…
What Doubling Tricks Can and Can't Do for Multi-Armed Bandits
Lilian Besson, Emilie Kaufmann
An online reinforcement learning algorithm is anytime if it does not need to know in advance the horizon T of the experiment. A well-known technique to obtain an anytime algorithm…
Pure Exploration in Infinitely-Armed Bandit Models with Fixed-Confidence
Maryam Aziz, Jesse Anderton, Emilie Kaufmann +1
We consider the problem of near-optimal arm identification in the fixed confidence setting of the infinitely armed bandit problem when nothing is known about the arm reservoir dist…