5 citations · 37 across the 41 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2023
Adversarial Rewards in Universal Learning for Contextual Bandits
Moise Blanchard, Steve Hanneke, Patrick Jaillet
We study the fundamental limits of learning in contextual bandits, where a learner's rewards depend on their actions and a known context, which extends the canonical multi-armed ba…
stat.ML2022
Contextual Bandits and Optimistically Universal Learning
Moise Blanchard, Steve Hanneke, Patrick Jaillet
We consider the contextual bandit problem on general action and context spaces, where the learner's rewards depend on their selected actions and an observable context. This general…