Efficient Change-Point Detection for Tackling Piecewise-Stationary
Bandits

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Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits

5 February 2019

Odalric-Ambrym Maillard

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Papers citing "Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits"

13 / 13 papers shown

Title
Continual Learning as Computationally Constrained Reinforcement Learning Saurabh Kumar Henrik Marklund Anand Srinivasa Rao Yifan Zhu Hong Jun Jeon Yueyang Liu Benjamin Van Roy CLL 89 25 0 10 Jul 2023
Learning to Price Supply Chain Contracts against a Learning Retailer Xuejun Zhao Ruihao Zhu W. Haskell OffRL 89 0 0 02 Nov 2022
Safety Aware Changepoint Detection for Piecewise i.i.d. Bandits Subhojyoti Mukherjee 41 1 0 27 May 2022
Non-Stationary Bandit Learning via Predictive Sampling Yueyang Liu Kuang Xu Benjamin Van Roy 124 18 0 04 May 2022
Nonstationary Stochastic Multiarmed Bandits: UCB Policies and Minimax Regret Lai Wei Vaibhav Srivastava 69 11 0 22 Jan 2021
An empirical evaluation of active inference in multi-armed bandits D. Marković Hrvoje Stojić Sarah Schwöbel S. Kiebel 96 35 0 21 Jan 2021
Unifying Clustered and Non-stationary Bandits Chuanhao Li Qingyun Wu Hongning Wang 93 12 0 05 Sep 2020
Dynamic Regret of Policy Optimization in Non-stationary Environments Yingjie Fei Zhuoran Yang Zhaoran Wang Qiaomin Xie 93 56 0 30 Jun 2020
Algorithms for Non-Stationary Generalized Linear Bandits Yoan Russac Olivier Cappé Aurélien Garivier 104 25 0 23 Mar 2020
Weighted Linear Bandits for Non-Stationary Environments Yoan Russac Claire Vernade Olivier Cappé 161 108 0 19 Sep 2019
Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits Lingda Wang Huozhi Zhou Bingcong Li Lav Varshney Zhizhen Zhao 43 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 66 20 0 27 Aug 2019
Distribution-dependent and Time-uniform Bounds for Piecewise i.i.d Bandits Subhojyoti Mukherjee Odalric-Ambrym Maillard 76 11 0 30 May 2019

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