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Multi-objective Bandits: Optimizing the Generalized Gini Index

Multi-objective Bandits: Optimizing the Generalized Gini Index

15 June 2017
R. Busa-Fekete
Balazs Szorenyi
Paul Weng
Shie Mannor
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Papers citing "Multi-objective Bandits: Optimizing the Generalized Gini Index"

9 / 9 papers shown
Title
Provably Efficient Multi-Objective Bandit Algorithms under Preference-Centric Customization
Provably Efficient Multi-Objective Bandit Algorithms under Preference-Centric Customization
Linfeng Cao
Ming Shi
Ness B. Shroff
51
0
0
20 Feb 2025
Sequential Learning of the Pareto Front for Multi-objective Bandits
Sequential Learning of the Pareto Front for Multi-objective Bandits
Elise Crépon
Aurélien Garivier
Wouter M. Koolen
52
1
0
29 Jan 2025
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human
  Preferences
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences
Minyoung Hwang
Luca Weihs
Chanwoo Park
Kimin Lee
Aniruddha Kembhavi
Kiana Ehsani
40
18
0
14 Dec 2023
Fairness in Preference-based Reinforcement Learning
Fairness in Preference-based Reinforcement Learning
Umer Siddique
Abhinav Sinha
Yongcan Cao
21
4
0
16 Jun 2023
Pareto Regret Analyses in Multi-objective Multi-armed Bandit
Pareto Regret Analyses in Multi-objective Multi-armed Bandit
Mengfan Xu
Diego Klabjan
27
7
0
01 Dec 2022
Optimizing generalized Gini indices for fairness in rankings
Optimizing generalized Gini indices for fairness in rankings
Virginie Do
Nicolas Usunier
15
29
0
02 Apr 2022
Multi-Armed Bandits with Censored Consumption of Resources
Multi-Armed Bandits with Censored Consumption of Resources
Viktor Bengs
Eyke Hüllermeier
33
2
0
02 Nov 2020
Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning
  with Average and Discounted Rewards
Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards
Umer Siddique
Paul Weng
Matthieu Zimmer
FaML
OffRL
22
84
0
18 Aug 2020
Blackwell Approachability and Low-Regret Learning are Equivalent
Blackwell Approachability and Low-Regret Learning are Equivalent
Jacob D. Abernethy
Peter L. Bartlett
Elad Hazan
86
117
0
08 Nov 2010
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