Randomized Exploration for Non-Stationary Stochastic Linear Bandits

11 December 2019

Papers citing "Randomized Exploration for Non-Stationary Stochastic Linear Bandits"

13 / 13 papers shown

Title
Tracking Most Significant Shifts in Infinite-Armed Bandits Joe Suk Jung-hun Kim 106 1 0 31 Jan 2025
Variance-Dependent Regret Bounds for Non-stationary Linear Bandits Zhiyong Wang Jize Xie Yi Chen J. C. Lui Dongruo Zhou 80 1 0 15 Mar 2024
Non-Stationary Contextual Bandit Learning via Neural Predictive Ensemble Sampling Zheqing Zhu Yueyang Liu Xu Kuang Benjamin Van Roy AI4TS 66 0 0 11 Oct 2023
Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System Bowei He Xu He Renrui Zhang Yingxue Zhang Ruiming Tang Chen Ma AI4TS 84 12 0 15 Aug 2023
Linear Bandits with Memory: from Rotting to Rising Giulia Clerici Pierre Laforgue Nicolò Cesa-Bianchi 56 3 0 16 Feb 2023
On Kernelized Multi-Armed Bandits with Constraints Xingyu Zhou Bo Ji 69 30 0 29 Mar 2022
Bayesian Non-stationary Linear Bandits for Large-Scale Recommender Systems Saeed Ghoorchian E. Kortukov S. Maghsudi OffRL 82 0 0 07 Feb 2022
Weighted Gaussian Process Bandits for Non-stationary Environments Yuntian Deng Xingyu Zhou Baekjin Kim Ambuj Tewari Abhishek Gupta Ness B. Shroff 93 26 0 06 Jul 2021
A Simple Approach for Non-stationary Linear Bandits Peng Zhao Lijun Zhang Yuan Jiang Zhi Zhou 80 85 0 09 Mar 2021
Non-stationary Reinforcement Learning without Prior Knowledge: An Optimal Black-box Approach Chen-Yu Wei Haipeng Luo OffRL 187 107 0 10 Feb 2021
Efficient Learning in Non-Stationary Linear Markov Decision Processes Ahmed Touati Pascal Vincent 108 29 0 24 Oct 2020
IntelligentPooling: Practical Thompson Sampling for mHealth Sabina Tomkins Peng Liao P. Klasnja Susan Murphy 88 32 0 31 Jul 2020
Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits Aditya A. Ramesh Paulo E. Rauber Michelangelo Conserva Jürgen Schmidhuber 43 0 0 09 Jul 2020