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2011.06741
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Rebounding Bandits for Modeling Satiation Effects
13 November 2020
Liu Leqi
Fatma Kılınç Karzan
Zachary Chase Lipton
A. Montgomery
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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
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
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
Arpit Agarwal
William Brown
57
5
0
12 Feb 2023
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
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
Zhimei Ren
Zhengyuan Zhou
108
31
0
27 Aug 2020
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