ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2208.12584
  4. Cited By
Socially Fair Reinforcement Learning

Socially Fair Reinforcement Learning

26 August 2022
Debmalya Mandal
Jiarui Gan
    OffRL
ArXivPDFHTML

Papers citing "Socially Fair Reinforcement Learning"

8 / 8 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
82
0
0
03 Jan 2025
Scalable Multi-Objective Reinforcement Learning with Fairness Guarantees
  using Lorenz Dominance
Scalable Multi-Objective Reinforcement Learning with Fairness Guarantees using Lorenz Dominance
Dimitris Michailidis
Willem Röpke
D. Roijers
Sennay Ghebreab
Fernando P. Santos
65
0
0
27 Nov 2024
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
44
0
0
14 Nov 2024
Policy Aggregation
Policy Aggregation
Parand A. Alamdari
Soroush Ebadian
Ariel D. Procaccia
OffRL
24
4
0
06 Nov 2024
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision
  Making
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
P. A. Alamdari
Toryn Q. Klassen
Elliot Creager
Sheila A. McIlraith
13
4
0
08 Dec 2023
Achieving Fairness in Multi-Agent Markov Decision Processes Using
  Reinforcement Learning
Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning
Peizhong Ju
A. Ghosh
Ness B. Shroff
30
4
0
01 Jun 2023
Reinforcement Learning with Stepwise Fairness Constraints
Reinforcement Learning with Stepwise Fairness Constraints
Zhun Deng
He Sun
Zhiwei Steven Wu
Linjun Zhang
David C. Parkes
FaML
OffRL
40
11
0
08 Nov 2022
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
81
18
0
22 Oct 2020
1