Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits

Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits

13 November 2018

Branislav Kveton

Csaba Szepesvári

Mohammad Ghavamzadeh

Papers citing "Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits"

13 / 13 papers shown

Title
Random Latent Exploration for Deep Reinforcement Learning Srinath Mahankali Zhang-Wei Hong Ayush Sekhari Alexander Rakhlin Pulkit Agrawal 38 3 0 18 Jul 2024
Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits Ziyi Huang Henry Lam Haofeng Zhang 35 0 0 20 Jun 2024
Zero-Inflated Bandits Haoyu Wei Runzhe Wan Lei Shi Rui Song 44 0 0 25 Dec 2023
Multiplier Bootstrap-based Exploration Runzhe Wan Haoyu Wei Branislav Kveton R. Song 21 3 0 03 Feb 2023
A Nonparametric Contextual Bandit with Arm-level Eligibility Control for Customer Service Routing Ruofeng Wen Wenjun Zeng Yi Liu 26 0 0 08 Sep 2022
An Analysis of Ensemble Sampling Chao Qin Zheng Wen Xiuyuan Lu Benjamin Van Roy 34 21 0 02 Mar 2022
Maillard Sampling: Boltzmann Exploration Done Optimally Jieming Bian Kwang-Sung Jun 24 12 0 05 Nov 2021
Policy Optimization as Online Learning with Mediator Feedback Alberto Maria Metelli Matteo Papini P. DÓro Marcello Restelli OffRL 27 10 0 15 Dec 2020
DORB: Dynamically Optimizing Multiple Rewards with Bandits Ramakanth Pasunuru Han Guo Joey Tianyi Zhou OffRL 32 6 0 15 Nov 2020
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration Priyank Agrawal Jinglin Chen Nan Jiang 30 18 0 23 Oct 2020
BanditPAM: Almost Linear Time $k$ -Medoids Clustering via Multi-Armed Bandits Mo Tiwari Martin Jinye Zhang James Mayclin Sebastian Thrun Chris Piech Ilan Shomorony 32 11 0 11 Jun 2020
Self-Supervised Contextual Bandits in Computer Vision A. Deshmukh Abhimanu Kumar Levi Boyles Denis Xavier Charles Eren Manavoglu Ürün Dogan SSL 31 3 0 18 Mar 2020
Perturbed-History Exploration in Stochastic Linear Bandits Branislav Kveton Csaba Szepesvári Mohammad Ghavamzadeh Craig Boutilier 24 41 0 21 Mar 2019