Perturbed-History Exploration in Stochastic Multi-Armed Bandits

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Perturbed-History Exploration in Stochastic Multi-Armed Bandits

26 February 2019

Branislav Kveton

Csaba Szepesvári

Mohammad Ghavamzadeh

Craig Boutilier

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Papers citing "Perturbed-History Exploration in Stochastic Multi-Armed Bandits"

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Title
Perturbed-History Exploration in Stochastic Linear Bandits Branislav Kveton Csaba Szepesvári Mohammad Ghavamzadeh Craig Boutilier 36 43 0 21 Mar 2019
Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits Branislav Kveton Csaba Szepesvári Sharan Vaswani Zheng Wen Mohammad Ghavamzadeh Tor Lattimore 142 70 0 13 Nov 2018
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling C. Riquelme George Tucker Jasper Snoek BDL 79 366 0 26 Feb 2018
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems Zachary Chase Lipton Xiujun Li Jianfeng Gao Lihong Li Faisal Ahmed Li Deng 68 172 0 15 Nov 2017
Ensemble Sampling Xiuyuan Lu Benjamin Van Roy 129 121 0 20 May 2017
Cascading Bandits: Learning to Rank in the Cascade Model Branislav Kveton Csaba Szepesvári Zheng Wen Azin Ashkan 197 284 0 10 Feb 2015
Thompson Sampling for Complex Bandit Problems Aditya Gopalan Shie Mannor Yishay Mansour 152 203 0 03 Nov 2013
An efficient algorithm for learning with semi-bandit feedback Gergely Neu Gábor Bartók 127 80 0 13 May 2013
Thompson Sampling for Contextual Bandits with Linear Payoffs Shipra Agrawal Navin Goyal 195 1,006 0 15 Sep 2012
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond Aurélien Garivier Olivier Cappé 180 615 0 12 Feb 2011