Thompson Sampling Regret Bounds for Contextual Bandits with sub-Gaussian rewards

26 April 2023

Papers citing "Thompson Sampling Regret Bounds for Contextual Bandits with sub-Gaussian rewards"

5 / 5 papers shown

Title
An Information-Theoretic Analysis of Bayesian Reinforcement Learning Amaury Gouverneur Borja Rodríguez Gálvez T. Oechtering Mikael Skoglund OffRL 63 1 0 18 Jul 2022
Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits Gergely Neu Julia Olkhovskaya Matteo Papini Ludovic Schwartz 75 16 0 27 May 2022
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles Dylan J. Foster Alexander Rakhlin 365 207 0 12 Feb 2020
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates Jeffrey Negrea Mahdi Haghifam Gintare Karolina Dziugaite Ashish Khisti Daniel M. Roy FedML 153 153 0 06 Nov 2019
Contextual Bandit Learning with Predictable Rewards Alekh Agarwal Miroslav Dudík Satyen Kale John Langford Robert Schapire OffRL 404 86 0 07 Feb 2012