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1902.01575
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Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits
5 February 2019
Lilian Besson
E. Kaufmann
Odalric-Ambrym Maillard
Julien Seznec
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Papers citing
"Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits"
22 / 22 papers shown
A Risk-Averse Framework for Non-Stationary Stochastic Multi-Armed Bandits
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Mohammed Mahfoud
Mastane Achab
201
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24 Oct 2023
Non-Stationary Contextual Bandit Learning via Neural Predictive Ensemble Sampling
Zheqing Zhu
Yueyang Liu
Xu Kuang
Benjamin Van Roy
AI4TS
286
1
0
11 Oct 2023
Piecewise-Stationary Combinatorial Semi-Bandit with Causally Related Rewards
European Conference on Artificial Intelligence (ECAI), 2023
Behzad Nourani-Koliji
Steven Bilaj
A. R. Balef
S. Maghsudi
310
2
0
26 Jul 2023
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
464
39
0
10 Jul 2023
Distributed Consensus Algorithm for Decision-Making in Multi-agent Multi-armed Bandit
IEEE Transactions on Control of Network Systems (IEEE TCNS), 2023
Xiaotong Cheng
S. Maghsudi
256
2
0
09 Jun 2023
A Definition of Non-Stationary Bandits
Yueyang Liu
Kuang Xu
Benjamin Van Roy
479
13
0
23 Feb 2023
Learning to Price Supply Chain Contracts against a Learning Retailer
Social Science Research Network (SSRN), 2022
Xuejun Zhao
Ruihao Zhu
W. Haskell
OffRL
259
1
0
02 Nov 2022
Safety Aware Changepoint Detection for Piecewise i.i.d. Bandits
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Subhojyoti Mukherjee
239
1
0
27 May 2022
Non-Stationary Bandit Learning via Predictive Sampling
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Yueyang Liu
Kuang Xu
Benjamin Van Roy
512
23
0
04 May 2022
Non-Parametric Quickest Mean Change Detection
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Yuchen Liang
Venugopal V. Veeravalli
155
13
0
25 Aug 2021
Weighted Gaussian Process Bandits for Non-stationary Environments
Yuntian Deng
Xingyu Zhou
Baekjin Kim
Ambuj Tewari
Abhishek Gupta
Ness B. Shroff
312
30
0
06 Jul 2021
Nonstationary Stochastic Multiarmed Bandits: UCB Policies and Minimax Regret
Lai Wei
Vaibhav Srivastava
218
11
0
22 Jan 2021
An empirical evaluation of active inference in multi-armed bandits
Neural Networks (NN), 2021
D. Marković
Hrvoje Stojić
Sarah Schwöbel
S. Kiebel
403
40
0
21 Jan 2021
Nonstationary Reinforcement Learning with Linear Function Approximation
Huozhi Zhou
Jinglin Chen
Lav Varshney
A. Jagmohan
433
32
0
08 Oct 2020
Unifying Clustered and Non-stationary Bandits
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Chuanhao Li
Qingyun Wu
Hongning Wang
205
13
0
05 Sep 2020
Dynamic Regret of Policy Optimization in Non-stationary Environments
Yingjie Fei
Zhuoran Yang
Zhaoran Wang
Qiaomin Xie
281
67
0
30 Jun 2020
Algorithms for Non-Stationary Generalized Linear Bandits
Yoan Russac
Olivier Cappé
Aurélien Garivier
352
26
0
23 Mar 2020
Weighted Linear Bandits for Non-Stationary Environments
Neural Information Processing Systems (NeurIPS), 2019
Yoan Russac
Claire Vernade
Olivier Cappé
374
118
0
19 Sep 2019
Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits
Lingda Wang
Huozhi Zhou
Bingcong Li
Lav Varshney
Zhizhen Zhao
292
7
0
12 Sep 2019
A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits
AAAI Conference on Artificial Intelligence (AAAI), 2019
Huozhi Zhou
Lingda Wang
Lav Varshney
Ee-Peng Lim
420
22
0
27 Aug 2019
Distribution-dependent and Time-uniform Bounds for Piecewise i.i.d Bandits
Subhojyoti Mukherjee
Odalric-Ambrym Maillard
258
12
0
30 May 2019
Learning to Optimize under Non-Stationarity
Wang Chi Cheung
D. Simchi-Levi
Ruihao Zhu
799
157
0
06 Oct 2018
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