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Impatient Bandits: Optimizing Recommendations for the Long-Term Without
  Delay

Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay

19 July 2023
Thomas M. McDonald
Lucas Maystre
M. Lalmas
Daniel Russo
K. Ciosek
    OffRL
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Papers citing "Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay"

3 / 3 papers shown
Title
System-2 Recommenders: Disentangling Utility and Engagement in
  Recommendation Systems via Temporal Point-Processes
System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes
Arpit Agarwal
Nicolas Usunier
A. Lazaric
Maximilian Nickel
25
3
0
29 May 2024
Adaptive Experimentation in the Presence of Exogenous Nonstationary
  Variation
Adaptive Experimentation in the Presence of Exogenous Nonstationary Variation
Chao Qin
Daniel Russo
47
6
0
18 Feb 2022
No Regrets for Learning the Prior in Bandits
No Regrets for Learning the Prior in Bandits
Soumya Basu
B. Kveton
Manzil Zaheer
Csaba Szepesvári
41
33
0
13 Jul 2021
1