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1706.04933
Cited By
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"
23 / 23 papers shown
Game-Theoretic Understandings of Multi-Agent Systems with Multiple Objectives
Yue Wang
209
0
0
27 Sep 2025
Skill-Aligned Fairness in Multi-Agent Learning for Collaboration in Healthcare
Promise Ekpo
Brian La
Thomas Wiener
Saesha Agarwal
Arshia Agrawal
Gonzalo Gonzalez-Pumariega
Lekan P. Molu
Angelique Taylor
215
1
0
26 Aug 2025
Stochastic Multi-Objective Multi-Armed Bandits: Regret Definition and Algorithm
Mansoor Davoodi
Setareh Maghsudi
206
0
0
16 Jun 2025
Provably Efficient Multi-Objective Bandit Algorithms under Preference-Centric Customization
Linfeng Cao
Ming Shi
Ness B. Shroff
241
2
0
19 Feb 2025
Sequential Learning of the Pareto Front for Multi-objective Bandits
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Elise Crépon
Aurélien Garivier
Wouter M. Koolen
183
10
0
29 Jan 2025
Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs
AAAI Conference on Artificial Intelligence (AAAI), 2024
Xiaqiang Tang
Jian Li
Nan Du
Sihong Xie
384
12
0
10 Dec 2024
Online Pareto-Optimal Decision-Making for Complex Tasks using Active Inference
Peter Amorese
Shohei Wakayama
Nisar R. Ahmed
Morteza Lahijanian
276
4
0
17 Jun 2024
No-Regret Learning for Fair Multi-Agent Social Welfare Optimization
Mengxiao Zhang
Ramiro Deo-Campo Vuong
Haipeng Luo
279
5
0
31 May 2024
Multi-Objective Recommendation via Multivariate Policy Learning
ACM Conference on Recommender Systems (RecSys), 2024
Olivier Jeunen
Jatin Mandav
Ivan Potapov
Nakul Agarwal
Sourabh Vaid
Wenzhe Shi
Aleksei Ustimenko
OffRL
284
12
0
03 May 2024
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences
Computer Vision and Pattern Recognition (CVPR), 2023
Minyoung Hwang
Luca Weihs
Chanwoo Park
Kimin Lee
Aniruddha Kembhavi
Kiana Ehsani
284
28
0
14 Dec 2023
Ad-load Balancing via Off-policy Learning in a Content Marketplace
Web Search and Data Mining (WSDM), 2023
Hitesh Sagtani
M. Jhawar
Rishabh Mehrotra
Olivier Jeunen
OffRL
446
12
0
19 Sep 2023
Optimal Scalarizations for Sublinear Hypervolume Regret
Neural Information Processing Systems (NeurIPS), 2023
Qiuying Zhang
222
2
0
06 Jul 2023
Fairness in Preference-based Reinforcement Learning
Umer Siddique
Abhinav Sinha
Yongcan Cao
296
8
0
16 Jun 2023
Pareto Regret Analyses in Multi-objective Multi-armed Bandit
International Conference on Machine Learning (ICML), 2022
Mengfan Xu
Diego Klabjan
355
15
0
01 Dec 2022
Optimizing generalized Gini indices for fairness in rankings
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Virginie Do
Nicolas Usunier
345
37
0
02 Apr 2022
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning
International Conference on Machine Learning (ICML), 2020
Matthieu Zimmer
Claire Glanois
Umer Siddique
Paul Weng
OffRL
566
76
0
17 Dec 2020
Multi-Armed Bandits with Censored Consumption of Resources
Machine-mediated learning (ML), 2020
Viktor Bengs
Eyke Hüllermeier
280
3
0
02 Nov 2020
Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards
Umer Siddique
Paul Weng
Matthieu Zimmer
FaML
OffRL
226
103
0
18 Aug 2020
Fairness in Multi-agent Reinforcement Learning for Stock Trading
Wenhang Bao
AIFin
236
8
0
14 Dec 2019
Fairness in Reinforcement Learning
Paul Weng
FaML
OffRL
119
0
0
24 Jul 2019
The Cost of a Reductions Approach to Private Fair Optimization
Daniel Alabi
419
3
0
23 Jun 2019
Exploration-Exploitation Trade-off in Reinforcement Learning on Online Markov Decision Processes with Global Concave Rewards
Wang Chi Cheung
168
19
0
15 May 2019
Unleashing Linear Optimizers for Group-Fair Learning and Optimization
Daniel Alabi
Nicole Immorlica
Adam Tauman Kalai
FedML
FaML
201
28
0
11 Apr 2018
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