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Equipping Experts/Bandits with Long-term Memory

Equipping Experts/Bandits with Long-term Memory

30 May 2019
Kai Zheng
Haipeng Luo
Ilias Diakonikolas
Liwei Wang
    OffRL
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Papers citing "Equipping Experts/Bandits with Long-term Memory"

7 / 7 papers shown
Title
Refined Regret for Adversarial MDPs with Linear Function Approximation
Refined Regret for Adversarial MDPs with Linear Function Approximation
Yan Dai
Haipeng Luo
Chen-Yu Wei
Julian Zimmert
31
12
0
30 Jan 2023
Online Bilevel Optimization: Regret Analysis of Online Alternating
  Gradient Methods
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods
Davoud Ataee Tarzanagh
Parvin Nazari
Bojian Hou
Li Shen
Laura Balzano
53
10
0
06 Jul 2022
Non-stationary Bandits and Meta-Learning with a Small Set of Optimal
  Arms
Non-stationary Bandits and Meta-Learning with a Small Set of Optimal Arms
Javad Azizi
T. Duong
Yasin Abbasi-Yadkori
András Gyorgy
Claire Vernade
Mohammad Ghavamzadeh
34
8
0
25 Feb 2022
A Simple Approach for Non-stationary Linear Bandits
A Simple Approach for Non-stationary Linear Bandits
Peng Zhao
Lijun Zhang
Yuan Jiang
Zhi-Hua Zhou
36
81
0
09 Mar 2021
Non-stationary Online Learning with Memory and Non-stochastic Control
Non-stationary Online Learning with Memory and Non-stochastic Control
Peng Zhao
Yu-Hu Yan
Yu Wang
Zhi-Hua Zhou
40
47
0
07 Feb 2021
Active Online Learning with Hidden Shifting Domains
Active Online Learning with Hidden Shifting Domains
Yining Chen
Haipeng Luo
Tengyu Ma
Chicheng Zhang
31
5
0
25 Jun 2020
A Closer Look at Small-loss Bounds for Bandits with Graph Feedback
A Closer Look at Small-loss Bounds for Bandits with Graph Feedback
Chung-Wei Lee
Haipeng Luo
Mengxiao Zhang
14
23
0
02 Feb 2020
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