An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear Bandits

23 October 2020

Papers citing "An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear Bandits"

9 / 9 papers shown

Title
Sequential Learning of the Pareto Front for Multi-objective Bandits Elise Crépon Aurélien Garivier Wouter M. Koolen 52 1 0 29 Jan 2025
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees Andrea Tirinzoni Matteo Papini Ahmed Touati A. Lazaric Matteo Pirotta 33 4 0 24 Oct 2022
On Elimination Strategies for Bandit Fixed-Confidence Identification Andrea Tirinzoni Rémy Degenne 47 7 0 22 May 2022
Instance-Dependent Regret Analysis of Kernelized Bandits S. Shekhar T. Javidi 29 3 0 12 Mar 2022
Efficient Kernel UCB for Contextual Bandits Houssam Zenati A. Bietti Eustache Diemert Julien Mairal Matthieu Martin Pierre Gaillard 29 3 0 11 Feb 2022
Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge Reda Ouhamma Odalric-Ambrym Maillard Vianney Perchet 27 11 0 02 Nov 2021
Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification Clémence Réda Andrea Tirinzoni Rémy Degenne 31 9 0 02 Nov 2021
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection Matteo Papini Andrea Tirinzoni Aldo Pacchiano Marcello Restelli A. Lazaric Matteo Pirotta 19 18 0 27 Oct 2021
Leveraging Good Representations in Linear Contextual Bandits Matteo Papini Andrea Tirinzoni Marcello Restelli A. Lazaric Matteo Pirotta 35 26 0 08 Apr 2021