OSOM: A simultaneously optimal algorithm for multi-armed and linear
contextual bandits

OSOM: A simultaneously optimal algorithm for multi-armed and linear contextual bandits

24 May 2019

Niladri S. Chatterji

Vidya Muthukumar

Peter L. Bartlett

Papers citing "OSOM: A simultaneously optimal algorithm for multi-armed and linear contextual bandits"

10 / 10 papers shown

Title
Estimating Optimal Policy Value in General Linear Contextual Bandits Jonathan Lee Weihao Kong Aldo Pacchiano Vidya Muthukumar Emma Brunskill 35 0 0 19 Feb 2023
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference Debangshu Banerjee Avishek Ghosh Sayak Ray Chowdhury Aditya Gopalan 40 9 0 23 Jul 2022
Best of Both Worlds Model Selection Aldo Pacchiano Christoph Dann Claudio Gentile 39 10 0 29 Jun 2022
$Breaking the $\sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits$ Breaking the $\sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits Avishek Ghosh Abishek Sankararaman 32 3 0 19 May 2022
Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification Clémence Réda Andrea Tirinzoni Rémy Degenne 31 9 0 02 Nov 2021
Provably Efficient Representation Selection in Low-rank Markov Decision Processes: From Online to Offline RL Weitong Zhang Jiafan He Dongruo Zhou Amy Zhang Quanquan Gu OffRL 27 11 0 22 Jun 2021
Leveraging Good Representations in Linear Contextual Bandits Matteo Papini Andrea Tirinzoni Marcello Restelli A. Lazaric Matteo Pirotta 38 26 0 08 Apr 2021
Regret Balancing for Bandit and RL Model Selection Yasin Abbasi-Yadkori Aldo Pacchiano My Phan 26 26 0 09 Jun 2020
Rate-adaptive model selection over a collection of black-box contextual bandit algorithms Aurélien F. Bibaut Antoine Chambaz Mark van der Laan 37 6 0 05 Jun 2020
Model selection for contextual bandits Dylan J. Foster A. Krishnamurthy Haipeng Luo OffRL 34 90 0 03 Jun 2019