ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2307.05341
  4. Cited By
Tracking Most Significant Shifts in Nonparametric Contextual Bandits

Tracking Most Significant Shifts in Nonparametric Contextual Bandits

11 July 2023
Joe Suk
Samory Kpotufe
ArXivPDFHTML

Papers citing "Tracking Most Significant Shifts in Nonparametric Contextual Bandits"

7 / 7 papers shown
Title
Tracking Most Significant Shifts in Infinite-Armed Bandits
Joe Suk
Jung-hun Kim
53
0
0
31 Jan 2025
A Model Selection Approach for Corruption Robust Reinforcement Learning
A Model Selection Approach for Corruption Robust Reinforcement Learning
Chen-Yu Wei
Christoph Dann
Julian Zimmert
77
44
0
31 Dec 2024
Diminishing Exploration: A Minimalist Approach to Piecewise Stationary
  Multi-Armed Bandits
Diminishing Exploration: A Minimalist Approach to Piecewise Stationary Multi-Armed Bandits
Kuan-Ta Li
Ping-Chun Hsieh
Yu-Chih Huang
29
1
0
08 Oct 2024
Contextual Bandits for Unbounded Context Distributions
Contextual Bandits for Unbounded Context Distributions
Puning Zhao
Jiafei Wu
Zhe Liu
Huiwen Wu
Q. Zhang
Zong Ke
Tianhang Zheng
55
1
0
19 Aug 2024
Batched Nonparametric Contextual Bandits
Batched Nonparametric Contextual Bandits
Rong Jiang
Cong Ma
OffRL
26
1
0
27 Feb 2024
Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary
  Environments
Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments
Liyu Chen
Haipeng Luo
33
8
0
25 May 2022
Efficient Learning in Non-Stationary Linear Markov Decision Processes
Efficient Learning in Non-Stationary Linear Markov Decision Processes
Ahmed Touati
Pascal Vincent
32
29
0
24 Oct 2020
1