On Abruptly-Changing and Slowly-Varying Multiarmed Bandit Problems

23 February 2018

Papers citing "On Abruptly-Changing and Slowly-Varying Multiarmed Bandit Problems"

12 / 12 papers shown

Title
Fixed-Confidence Best Arm Identification with Decreasing Variance Tamojeet Roychowdhury Kota Srinivas Reddy Krishna P Jagannathan Sharayu Moharir 96 0 0 11 Feb 2025
Deterministic Sequencing of Exploration and Exploitation for Reinforcement Learning Piyush B. Gupta Vaibhav Srivastava OffRL 29 3 0 12 Sep 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
Non-Stationary Bandit Learning via Predictive Sampling Yueyang Liu Kuang Xu Benjamin Van Roy 24 19 0 04 May 2022
On Slowly-varying Non-stationary Bandits Ramakrishnan Krishnamurthy Médéric Fourmy 24 8 0 25 Oct 2021
Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits Junpei Komiyama Edouard Fouché Junya Honda 38 5 0 23 Jul 2021
Weighted Linear Bandits for Non-Stationary Environments Yoan Russac Claire Vernade Olivier Cappé 82 102 0 19 Sep 2019
Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits Lingda Wang Huozhi Zhou Bingcong Li Lav Varshney Zhizhen Zhao 22 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 24 18 0 27 Aug 2019
Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits Lilian Besson E. Kaufmann Odalric-Ambrym Maillard Julien Seznec 20 43 0 05 Feb 2019
Learning to Optimize under Non-Stationarity Wang Chi Cheung D. Simchi-Levi Ruihao Zhu 42 133 0 06 Oct 2018
Stochastic Surveillance Strategies for Spatial Quickest Detection Vaibhav Srivastava Fabio Pasqualetti Francesco Bullo 54 38 0 12 Oct 2012