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. 2212.01382
  4. Cited By
Welfare and Fairness in Multi-objective Reinforcement Learning

Welfare and Fairness in Multi-objective Reinforcement Learning

30 November 2022
Zimeng Fan
Nianli Peng
Muhang Tian
Brandon Fain
ArXivPDFHTML

Papers citing "Welfare and Fairness in Multi-objective Reinforcement Learning"

11 / 11 papers shown
Title
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
70
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
Multi-objective Reinforcement Learning: A Tool for Pluralistic Alignment
Multi-objective Reinforcement Learning: A Tool for Pluralistic Alignment
Peter Vamplew
Conor F. Hayes
Cameron Foale
Richard Dazeley
Hadassah Harland
45
0
0
15 Oct 2024
State-of-the-art in Robot Learning for Multi-Robot Collaboration: A
  Comprehensive Survey
State-of-the-art in Robot Learning for Multi-Robot Collaboration: A Comprehensive Survey
Bin Wu
C. S. Suh
3DV
47
2
0
03 Aug 2024
Learning in Multi-Objective Public Goods Games with Non-Linear Utilities
Learning in Multi-Objective Public Goods Games with Non-Linear Utilities
Nicole Orzan
Erman Acar
Davide Grossi
Patrick Mannion
Roxana Ruadulescu
13
0
0
01 Aug 2024
The Max-Min Formulation of Multi-Objective Reinforcement Learning: From
  Theory to a Model-Free Algorithm
The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm
Giseung Park
Woohyeon Byeon
Seongmin Kim
Elad Havakuk
Amir Leshem
Youngchul Sung
27
2
0
12 Jun 2024
An Empirical Investigation of Value-Based Multi-objective Reinforcement
  Learning for Stochastic Environments
An Empirical Investigation of Value-Based Multi-objective Reinforcement Learning for Stochastic Environments
Kewen Ding
Peter Vamplew
Cameron Foale
Richard Dazeley
30
1
0
06 Jan 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
Fairness in Preference-based Reinforcement Learning
Fairness in Preference-based Reinforcement Learning
Umer Siddique
Abhinav Sinha
Yongcan Cao
19
4
0
16 Jun 2023
Distributional Reinforcement Learning with Dual Expectile-Quantile
  Regression
Distributional Reinforcement Learning with Dual Expectile-Quantile Regression
Sami Jullien
Romain Deffayet
J. Renders
Paul T. Groth
Maarten de Rijke
OOD
77
1
0
26 May 2023
1