A Change-Detection based Framework for Piecewise-stationary Multi-Armed Bandit Problem

8 November 2017

Papers citing "A Change-Detection based Framework for Piecewise-stationary Multi-Armed Bandit Problem"

22 / 22 papers shown

Title
Tracking Most Significant Shifts in Infinite-Armed Bandits Joe Suk Jung-hun Kim 65 0 0 31 Jan 2025
Exploiting Adjacent Similarity in Multi-Armed Bandit Tasks via Transfer of Reward Samples NR Rahul Vaibhav Katewa 37 0 0 30 Sep 2024
Discounted Thompson Sampling for Non-Stationary Bandit Problems Han Qi Yue Wang Li Zhu 40 4 0 18 May 2023
MNL-Bandit in non-stationary environments Ayoub Foussoul Vineet Goyal Varun Gupta 36 2 0 04 Mar 2023
Piecewise-Stationary Multi-Objective Multi-Armed Bandit with Application to Joint Communications and Sensing A. R. Balef S. Maghsudi 32 4 0 10 Feb 2023
Non-Stationary Bandits with Auto-Regressive Temporal Dependency Qinyi Chen Negin Golrezaei Djallel Bouneffouf AI4TS 37 12 0 28 Oct 2022
Decentralized Competing Bandits in Non-Stationary Matching Markets Avishek Ghosh Abishek Sankararaman Kannan Ramchandran T. Javidi A. Mazumdar 33 4 0 31 May 2022
Safety Aware Changepoint Detection for Piecewise i.i.d. Bandits Subhojyoti Mukherjee 21 1 0 27 May 2022
Non-Stationary Dueling Bandits Patrick Kolpaczki Viktor Bengs Eyke Hüllermeier 40 7 0 02 Feb 2022
Using Non-Stationary Bandits for Learning in Repeated Cournot Games with Non-Stationary Demand Kshitija Taywade Brent Harrison J. Goldsmith 41 3 0 03 Jan 2022
Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits Junpei Komiyama Edouard Fouché Junya Honda 41 5 0 23 Jul 2021
An empirical evaluation of active inference in multi-armed bandits D. Marković Hrvoje Stojić Sarah Schwöbel S. Kiebel 44 34 0 21 Jan 2021
Non-Stationary Latent Bandits Joey Hong Branislav Kveton Manzil Zaheer Yinlam Chow Amr Ahmed Mohammad Ghavamzadeh Craig Boutilier OffRL 38 13 0 01 Dec 2020
A Change-Detection Based Thompson Sampling Framework for Non-Stationary Bandits Gourab Ghatak 25 17 0 06 Sep 2020
Algorithms for Non-Stationary Generalized Linear Bandits Yoan Russac Olivier Cappé Aurélien Garivier 45 24 0 23 Mar 2020
Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits Lingda Wang Huozhi Zhou Bingcong Li Lav Varshney Zhizhen Zhao 31 6 0 12 Sep 2019
A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits Huozhi Zhou Lingda Wang Lav Varshney Ee-Peng Lim 30 18 0 27 Aug 2019
Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model Chang Li Maarten de Rijke 26 17 0 29 May 2019
Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits Lilian Besson E. Kaufmann Odalric-Ambrym Maillard Julien Seznec 23 43 0 05 Feb 2019
Deep reinforcement learning for search, recommendation, and online advertising: a survey Xiangyu Zhao Long Xia Jiliang Tang Dawei Yin OffRL 30 82 0 18 Dec 2018
Learning to Optimize under Non-Stationarity Wang Chi Cheung D. Simchi-Levi Ruihao Zhu 47 133 0 06 Oct 2018
On Abruptly-Changing and Slowly-Varying Multiarmed Bandit Problems Lai Wei Vaibhav Srivastava 32 37 0 23 Feb 2018