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. 1909.02964
  4. Cited By
Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis
  and Survey

Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey

6 September 2019
Roxana Rădulescu
Patrick Mannion
D. Roijers
A. Nowé
ArXivPDFHTML

Papers citing "Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey"

12 / 12 papers shown
Title
Exploring Equity of Climate Policies using Multi-Agent Multi-Objective Reinforcement Learning
Exploring Equity of Climate Policies using Multi-Agent Multi-Objective Reinforcement Learning
Palok Biswas
Zuzanna Osika
Isidoro Tamassia
Adit Whorra
J. Z. Salazar
Jan Kwakkel
F. Oliehoek
P. Murukannaiah
23
0
0
02 May 2025
Innate-Values-driven Reinforcement Learning for Cooperative Multi-Agent
  Systems
Innate-Values-driven Reinforcement Learning for Cooperative Multi-Agent Systems
Qin Yang
13
0
0
10 Jan 2024
Federated Learning in UAV-Enhanced Networks: Joint Coverage and
  Convergence Time Optimization
Federated Learning in UAV-Enhanced Networks: Joint Coverage and Convergence Time Optimization
Mariam Yahya
S. Maghsudi
S. Stańczak
21
3
0
31 Aug 2023
Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective
  Reinforcement Learning
Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement Learning
Conor F. Hayes
Mathieu Reymond
D. Roijers
Enda Howley
Patrick Mannion
24
4
0
23 Nov 2022
Multi-Objective Coordination Graphs for the Expected Scalarised Returns
  with Generative Flow Models
Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models
Conor F. Hayes
T. Verstraeten
D. Roijers
Enda Howley
Patrick Mannion
24
3
0
01 Jul 2022
On Nash Equilibria in Normal-Form Games With Vectorial Payoffs
On Nash Equilibria in Normal-Form Games With Vectorial Payoffs
Willem Röpke
D. Roijers
Ann Nowé
Roxana Rădulescu
14
8
0
13 Dec 2021
Scalar reward is not enough: A response to Silver, Singh, Precup and
  Sutton (2021)
Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021)
Peter Vamplew
Benjamin J. Smith
Johan Källström
G. Ramos
Roxana Rădulescu
...
Fredrik Heintz
Patrick Mannion
Pieter J. K. Libin
Richard Dazeley
Cameron Foale
LRM
24
66
0
25 Nov 2021
Causal Multi-Agent Reinforcement Learning: Review and Open Problems
Causal Multi-Agent Reinforcement Learning: Review and Open Problems
St John Grimbly
Jonathan P. Shock
Arnu Pretorius
44
17
0
12 Nov 2021
All unconstrained strongly convex problems are weakly simplicial
All unconstrained strongly convex problems are weakly simplicial
Y. Mizota
Naoki Hamada
S. Ichiki
15
2
0
24 Jun 2021
Expected Scalarised Returns Dominance: A New Solution Concept for
  Multi-Objective Decision Making
Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision Making
Conor F. Hayes
T. Verstraeten
D. Roijers
Enda Howley
Patrick Mannion
18
14
0
02 Jun 2021
Opponent Learning Awareness and Modelling in Multi-Objective Normal Form
  Games
Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games
Roxana Rădulescu
T. Verstraeten
Yijie Zhang
Patrick Mannion
D. Roijers
A. Nowé
25
14
0
14 Nov 2020
Stabilising Experience Replay for Deep Multi-Agent Reinforcement
  Learning
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip H. S. Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
114
595
0
28 Feb 2017
1