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Randomized Exploration for Non-Stationary Stochastic Linear Bandits
v1v2v3v4v5 (latest)

Randomized Exploration for Non-Stationary Stochastic Linear Bandits

11 December 2019
Baekjin Kim
Ambuj Tewari
ArXiv (abs)PDFHTML

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
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
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
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
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
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
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
Weighted Gaussian Process Bandits for Non-stationary Environments
Yuntian Deng
Xingyu Zhou
Baekjin Kim
Ambuj Tewari
Abhishek Gupta
Ness B. Shroff
92
26
0
06 Jul 2021
A Simple Approach for Non-stationary Linear Bandits
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
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
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
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
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
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