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Rebounding Bandits for Modeling Satiation Effects
v1v2v3 (latest)

Rebounding Bandits for Modeling Satiation Effects

13 November 2020
Liu Leqi
Fatma Kılınç Karzan
Zachary Chase Lipton
A. Montgomery
ArXiv (abs)PDFHTML

Papers citing "Rebounding Bandits for Modeling Satiation Effects"

6 / 6 papers shown
Title
Preferences Evolve And So Should Your Bandits: Bandits with Evolving States for Online Platforms
Preferences Evolve And So Should Your Bandits: Bandits with Evolving States for Online Platforms
Khashayar Khosravi
R. Leme
Chara Podimata
Apostolis Tsorvantzis
88
1
0
21 Jul 2023
A Field Test of Bandit Algorithms for Recommendations: Understanding the
  Validity of Assumptions on Human Preferences in Multi-armed Bandits
A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits
Liu Leqi
Giulio Zhou
Fatma Kilincc-Karzan
Zachary Chase Lipton
A. Montgomery
72
2
0
16 Apr 2023
Online Recommendations for Agents with Discounted Adaptive Preferences
Online Recommendations for Agents with Discounted Adaptive Preferences
Arpit Agarwal
William Brown
57
5
0
12 Feb 2023
Learning to Suggest Breaks: Sustainable Optimization of Long-Term User
  Engagement
Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement
Eden Saig
Nir Rosenfeld
60
4
0
24 Nov 2022
Combinatorial Blocking Bandits with Stochastic Delays
Combinatorial Blocking Bandits with Stochastic Delays
Alexia Atsidakou
Orestis Papadigenopoulos
Soumya Basu
Constantine Caramanis
Sanjay Shakkottai
61
8
0
22 May 2021
Dynamic Batch Learning in High-Dimensional Sparse Linear Contextual
  Bandits
Dynamic Batch Learning in High-Dimensional Sparse Linear Contextual Bandits
Zhimei Ren
Zhengyuan Zhou
108
31
0
27 Aug 2020
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