Perturbed-History Exploration in Stochastic Linear Bandits

Perturbed-History Exploration in Stochastic Linear Bandits

21 March 2019

Branislav Kveton

Csaba Szepesvári

Mohammad Ghavamzadeh

Craig Boutilier

Papers citing "Perturbed-History Exploration in Stochastic Linear Bandits"

13 / 13 papers shown

Title
Improved Regret of Linear Ensemble Sampling Harin Lee Min-hwan Oh 42 1 0 06 Nov 2024
Random Latent Exploration for Deep Reinforcement Learning Srinath Mahankali Zhang-Wei Hong Ayush Sekhari Alexander Rakhlin Pulkit Agrawal 38 3 0 18 Jul 2024
Graph Neural Thompson Sampling Shuang Wu Arash A. Amini 56 0 0 15 Jun 2024
Zero-Inflated Bandits Haoyu Wei Runzhe Wan Lei Shi Rui Song 44 0 0 25 Dec 2023
Ensemble sampling for linear bandits: small ensembles suffice David Janz A. Litvak Csaba Szepesvári 38 1 0 14 Nov 2023
Multiplier Bootstrap-based Exploration Runzhe Wan Haoyu Wei Branislav Kveton R. Song 21 3 0 03 Feb 2023
An Analysis of Ensemble Sampling Chao Qin Zheng Wen Xiuyuan Lu Benjamin Van Roy 34 21 0 02 Mar 2022
Anti-Concentrated Confidence Bonuses for Scalable Exploration Jordan T. Ash Cyril Zhang Surbhi Goel A. Krishnamurthy Sham Kakade 45 6 0 21 Oct 2021
An Efficient Algorithm for Deep Stochastic Contextual Bandits Tan Zhu Guannan Liang Chunjiang Zhu HaiNing Li J. Bi 42 1 0 12 Apr 2021
An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling Qin Ding Cho-Jui Hsieh James Sharpnack 25 37 0 07 Jun 2020
Neural Contextual Bandits with UCB-based Exploration Dongruo Zhou Lihong Li Quanquan Gu 36 15 0 11 Nov 2019
Stochastic Bandits with Context Distributions Johannes Kirschner Andreas Krause 29 30 0 06 Jun 2019
Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits Branislav Kveton Csaba Szepesvári Sharan Vaswani Zheng Wen Mohammad Ghavamzadeh Tor Lattimore 10 69 0 13 Nov 2018