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. 2203.01303
  4. Cited By
An Analysis of Ensemble Sampling

An Analysis of Ensemble Sampling

2 March 2022
Chao Qin
Zheng Wen
Xiuyuan Lu
Benjamin Van Roy
ArXivPDFHTML

Papers citing "An Analysis of Ensemble Sampling"

10 / 10 papers shown
Title
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story
Vincenzo De Paola
Riccardo Zamboni
Mirco Mutti
Marcello Restelli
19
0
0
02 May 2025
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model
Moritz A. Zanger
Pascal R. van der Vaart
Wendelin Bohmer
M. Spaan
UQCV
BDL
108
0
0
14 Mar 2025
Online Bandit Learning with Offline Preference Data
Online Bandit Learning with Offline Preference Data
Akhil Agnihotri
Rahul Jain
Deepak Ramachandran
Zheng Wen
OffRL
37
1
0
13 Jun 2024
Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice
  via HyperAgent
Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent
Yingru Li
Jiawei Xu
Lei Han
Zhi-Quan Luo
BDL
OffRL
18
6
0
05 Feb 2024
Ensemble sampling for linear bandits: small ensembles suffice
Ensemble sampling for linear bandits: small ensembles suffice
David Janz
A. Litvak
Csaba Szepesvári
27
2
0
14 Nov 2023
Multiplier Bootstrap-based Exploration
Multiplier Bootstrap-based Exploration
Runzhe Wan
Haoyu Wei
B. Kveton
R. Song
16
2
0
03 Feb 2023
Ensembles for Uncertainty Estimation: Benefits of Prior Functions and
  Bootstrapping
Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping
Vikranth Dwaracherla
Zheng Wen
Ian Osband
Xiuyuan Lu
S. Asghari
Benjamin Van Roy
UQCV
16
16
0
08 Jun 2022
Lifting the Information Ratio: An Information-Theoretic Analysis of
  Thompson Sampling for Contextual Bandits
Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits
Gergely Neu
Julia Olkhovskaya
Matteo Papini
Ludovic Schwartz
23
16
0
27 May 2022
Anti-Concentrated Confidence Bonuses for Scalable Exploration
Anti-Concentrated Confidence Bonuses for Scalable Exploration
Jordan T. Ash
Cyril Zhang
Surbhi Goel
A. Krishnamurthy
Sham Kakade
27
6
0
21 Oct 2021
Deep Exploration for Recommendation Systems
Deep Exploration for Recommendation Systems
Zheqing Zhu
Benjamin Van Roy
27
11
0
26 Sep 2021
1