2 papers
cs.LG2023
Meta-Learning Adversarial Bandit Algorithms
Mikhail Khodak, Ilya Osadchiy, Keegan Harris +4
We study online meta-learning with bandit feedback, with the goal of improving performance across multiple tasks if they are similar according to some natural similarity measure. A…
cs.LG2022
Online Meta-Learning in Adversarial Multi-Armed Bandits
Ilya Osadchiy, Kfir Y. Levy, Ron Meir
We study meta-learning for adversarial multi-armed bandits. We consider the online-within-online setup, in which a player (learner) encounters a sequence of multi-armed bandit epis…