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Achieving Fairness in Multi-Agent Markov Decision Processes Using
  Reinforcement Learning

Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning

1 June 2023
Peizhong Ju
A. Ghosh
Ness B. Shroff
ArXivPDFHTML

Papers citing "Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning"

4 / 4 papers shown
Title
Fairness in Reinforcement Learning with Bisimulation Metrics
Fairness in Reinforcement Learning with Bisimulation Metrics
S. Rezaei-Shoshtari
Hanna Yurchyk
Scott Fujimoto
Doina Precup
D. Meger
75
0
0
03 Jan 2025
Fair Resource Allocation in Weakly Coupled Markov Decision Processes
Fair Resource Allocation in Weakly Coupled Markov Decision Processes
Xiaohui Tu
Yossiri Adulyasak
Nima Akbarzadeh
Erick Delage
39
0
0
14 Nov 2024
Fairness in Preference-based Reinforcement Learning
Fairness in Preference-based Reinforcement Learning
Umer Siddique
Abhinav Sinha
Yongcan Cao
11
4
0
16 Jun 2023
Achieving User-Side Fairness in Contextual Bandits
Achieving User-Side Fairness in Contextual Bandits
Wen Huang
Kevin Labille
Xintao Wu
Dongwon Lee
Neil T. Heffernan
FaML
69
18
0
22 Oct 2020
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