Efficient Change-Point Detection for Tackling Piecewise-Stationary
Bandits

Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits

5 February 2019

Odalric-Ambrym Maillard

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

12 / 12 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 32 22 0 10 Jul 2023
Learning to Price Supply Chain Contracts against a Learning Retailer Xuejun Zhao Ruihao Zhu W. Haskell OffRL 20 0 0 02 Nov 2022
Safety Aware Changepoint Detection for Piecewise i.i.d. Bandits Subhojyoti Mukherjee 21 1 0 27 May 2022
Non-Stationary Bandit Learning via Predictive Sampling Yueyang Liu Kuang Xu Benjamin Van Roy 24 19 0 04 May 2022
Non-Parametric Quickest Mean Change Detection Yuchen Liang V. Veeravalli 11 6 0 25 Aug 2021
An empirical evaluation of active inference in multi-armed bandits D. Marković Hrvoje Stojić Sarah Schwöbel S. Kiebel 42 34 0 21 Jan 2021
Dynamic Regret of Policy Optimization in Non-stationary Environments Yingjie Fei Zhuoran Yang Zhaoran Wang Qiaomin Xie 32 54 0 30 Jun 2020
Algorithms for Non-Stationary Generalized Linear Bandits Yoan Russac Olivier Cappé Aurélien Garivier 43 24 0 23 Mar 2020
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 25 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 27 18 0 27 Aug 2019
Learning to Optimize under Non-Stationarity Wang Chi Cheung D. Simchi-Levi Ruihao Zhu 42 133 0 06 Oct 2018