Fairness and Welfare Quantification for Regret in Multi-Armed Bandits

27 May 2022

Papers citing "Fairness and Welfare Quantification for Regret in Multi-Armed Bandits"

7 / 7 papers shown

Title
Fairness Aware Reinforcement Learning via Proximal Policy Optimization Gabriele La Malfa Jie M. Zhang Michael Luck Elizabeth Black 147 0 0 06 Feb 2025
No-Regret Learning for Fair Multi-Agent Social Welfare Optimization Mengxiao Zhang Ramiro Deo-Campo Vuong Haipeng Luo 72 3 0 31 May 2024
Nash Regret Guarantees for Linear Bandits Ayush Sawarni Soumybrata Pal Siddharth Barman 116 4 0 03 Oct 2023
Equitable Restless Multi-Armed Bandits: A General Framework Inspired By Digital Health J. Killian Manish Jain Yugang Jia Jonathan Amar Erich Huang Milind Tambe 44 6 0 17 Aug 2023
Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning Peizhong Ju A. Ghosh Ness B. Shroff 82 5 0 01 Jun 2023
Socially Fair Reinforcement Learning Debmalya Mandal Jiarui Gan OffRL 82 13 0 26 Aug 2022
Diversity-Preserving K-Armed Bandits, Revisited Hédi Hadiji Sébastien Gerchinovitz Jean-Michel Loubes Gilles Stoltz 67 2 0 05 Oct 2020