1 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2020
Local Differential Privacy for Regret Minimization in Reinforcement Learning
Evrard Garcelon, Vianney Perchet, Ciara Pike-Burke +1
Reinforcement learning algorithms are widely used in domains where it is desirable to provide a personalized service. In these domains it is common that user data contains sensitiv…
cs.LG2020★ 1 cited
A Unifying View of Optimism in Episodic Reinforcement Learning
Gergely Neu, Ciara Pike-Burke
The principle of optimism in the face of uncertainty underpins many theoretically successful reinforcement learning algorithms. In this paper we provide a general framework for des…
stat.ML2019★ 1 cited
Recovering Bandits
Ciara Pike-Burke, Steffen Grünewälder
We study the recovering bandits problem, a variant of the stochastic multi-armed bandit problem where the expected reward of each arm varies according to some unknown function of t…