Learning to Optimize under Non-Stationarity

6 October 2018

Papers citing "Learning to Optimize under Non-Stationarity"

34 / 84 papers shown

Title
An Online Learning Approach to Optimizing Time-Varying Costs of AoI Vishrant Tripathi E. Modiano 6 20 0 27 May 2021
When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution Chuanhao Li Qingyun Wu Hongning Wang 39 5 0 14 Apr 2021
Regret Bounds for Generalized Linear Bandits under Parameter Drift Louis Faury Yoan Russac Marc Abeille Clément Calauzènes 13 10 0 09 Mar 2021
A Simple Approach for Non-stationary Linear Bandits Peng Zhao Lijun Zhang Yuan Jiang Zhi-Hua Zhou 31 81 0 09 Mar 2021
No-Regret Algorithms for Time-Varying Bayesian Optimization Xingyu Zhou Ness B. Shroff 17 17 0 11 Feb 2021
Non-stationary Reinforcement Learning without Prior Knowledge: An Optimal Black-box Approach Chen-Yu Wei Haipeng Luo OffRL 24 102 0 10 Feb 2021
Generalized non-stationary bandits Anne Gael Manegueu Alexandra Carpentier Yi Yu 31 10 0 01 Feb 2021
Non-Stationary Latent Bandits Joey Hong B. Kveton Manzil Zaheer Yinlam Chow Amr Ahmed Mohammad Ghavamzadeh Craig Boutilier OffRL 25 13 0 01 Dec 2020
Self-Concordant Analysis of Generalized Linear Bandits with Forgetting Yoan Russac Louis Faury Olivier Cappé Aurélien Garivier 20 14 0 02 Nov 2020
Efficient Learning in Non-Stationary Linear Markov Decision Processes Ahmed Touati Pascal Vincent 37 29 0 24 Oct 2020
Nonstationary Reinforcement Learning with Linear Function Approximation Huozhi Zhou Jinglin Chen L. Varshney A. Jagmohan 44 30 0 08 Oct 2020
Model-Free Non-Stationary RL: Near-Optimal Regret and Applications in Multi-Agent RL and Inventory Control Weichao Mao Kaipeng Zhang Ruihao Zhu D. Simchi-Levi Tamer Bacsar 27 13 0 07 Oct 2020
Unifying Clustered and Non-stationary Bandits Chuanhao Li Qingyun Wu Hongning Wang 27 12 0 05 Sep 2020
IntelligentPooling: Practical Thompson Sampling for mHealth Sabina Tomkins Peng Liao P. Klasnja S. Murphy 34 30 0 31 Jul 2020
Self-Tuning Bandits over Unknown Covariate-Shifts Joe Suk Samory Kpotufe 14 9 0 16 Jul 2020
Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits Aditya A. Ramesh Paulo E. Rauber Michelangelo Conserva Jürgen Schmidhuber 17 0 0 09 Jul 2020
Dynamic Regret of Policy Optimization in Non-stationary Environments Yingjie Fei Zhuoran Yang Zhaoran Wang Qiaomin Xie 18 54 0 30 Jun 2020
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism Wang Chi Cheung D. Simchi-Levi Ruihao Zhu OffRL 6 93 0 24 Jun 2020
Open Problem: Model Selection for Contextual Bandits Dylan J. Foster A. Krishnamurthy Haipeng Luo 16 17 0 19 Jun 2020
Algorithms for Non-Stationary Generalized Linear Bandits Yoan Russac Olivier Cappé Aurélien Garivier 43 23 0 23 Mar 2020
Multiscale Non-stationary Stochastic Bandits Qin Ding Cho-Jui Hsieh James Sharpnack 16 0 0 13 Feb 2020
Combinatorial Semi-Bandit in the Non-Stationary Environment Wei Chen Liwei Wang Haoyu Zhao Kai Zheng 29 18 0 10 Feb 2020
Efficient and Robust Algorithms for Adversarial Linear Contextual Bandits Gergely Neu Julia Olkhovskaya 8 44 0 01 Feb 2020
Regime Switching Bandits Xiang Zhou Yi Xiong Ningyuan Chen Xuefeng Gao 13 19 0 26 Jan 2020
Online Second Price Auction with Semi-bandit Feedback Under the Non-Stationary Setting Haoyu Zhao Wei Chen 14 13 0 14 Nov 2019
Weighted Linear Bandits for Non-Stationary Environments Yoan Russac Claire Vernade Olivier Cappé 82 101 0 19 Sep 2019
Multi-Point Bandit Algorithms for Nonstationary Online Nonconvex Optimization Abhishek Roy Krishnakumar Balasubramanian Saeed Ghadimi P. Mohapatra OffRL 25 15 0 31 Jul 2019
Bandit Convex Optimization in Non-stationary Environments Peng Zhao G. Wang Lijun Zhang Zhi-Hua Zhou 20 41 0 29 Jul 2019
Non-Stationary Reinforcement Learning: The Blessing of (More) Optimism Wang Chi Cheung D. Simchi-Levi Ruihao Zhu OffRL 23 7 0 07 Jun 2019
The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation Zhe Feng David C. Parkes Haifeng Xu 21 28 0 04 Jun 2019
Model selection for contextual bandits Dylan J. Foster A. Krishnamurthy Haipeng Luo OffRL 21 89 0 03 Jun 2019
Hedging the Drift: Learning to Optimize under Non-Stationarity Wang Chi Cheung D. Simchi-Levi Ruihao Zhu 24 89 0 04 Mar 2019
A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal, and Parameter-free Yifang Chen Chung-Wei Lee Haipeng Luo Chen-Yu Wei 7 131 0 03 Feb 2019
Optimal Exploration-Exploitation in a Multi-Armed-Bandit Problem with Non-stationary Rewards Omar Besbes Y. Gur A. Zeevi 29 126 0 13 May 2014