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Learning Fairness in Multi-Agent Systems

Learning Fairness in Multi-Agent Systems

31 October 2019
Jiechuan Jiang
Zongqing Lu
ArXiv (abs)PDFHTML

Papers citing "Learning Fairness in Multi-Agent Systems"

22 / 22 papers shown
Title
DECAF: Learning to be Fair in Multi-agent Resource Allocation
DECAF: Learning to be Fair in Multi-agent Resource Allocation
Ashwin Kumar
William Yeoh
147
1
0
06 Feb 2025
Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards
Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards
Shresth Verma
Niclas Boehmer
Lingkai Kong
Milind Tambe
128
3
0
17 Jan 2025
Fairness in Reinforcement Learning with Bisimulation Metrics
Fairness in Reinforcement Learning with Bisimulation Metrics
S. Rezaei-Shoshtari
Hanna Yurchyk
Scott Fujimoto
Doina Precup
David Meger
128
0
0
03 Jan 2025
A Cooperative Multi-Agent Reinforcement Learning Framework for Resource
  Balancing in Complex Logistics Network
A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network
Xihan Li
Jia Zhang
Jiang Bian
Yunhai Tong
Tie-Yan Liu
66
56
0
02 Mar 2019
Evolving intrinsic motivations for altruistic behavior
Evolving intrinsic motivations for altruistic behavior
Jane X. Wang
Edward Hughes
Chrisantha Fernando
Wojciech M. Czarnecki
Edgar A. Duénez-Guzmán
Joel Z Leibo
79
78
0
14 Nov 2018
Graph Convolutional Reinforcement Learning
Graph Convolutional Reinforcement Learning
Jiechuan Jiang
Chen Dun
Tiejun Huang
Zongqing Lu
GNN
66
338
0
22 Oct 2018
Data-Efficient Hierarchical Reinforcement Learning
Data-Efficient Hierarchical Reinforcement Learning
Ofir Nachum
S. Gu
Honglak Lee
Sergey Levine
OffRL
99
812
0
21 May 2018
Learning Attentional Communication for Multi-Agent Cooperation
Learning Attentional Communication for Multi-Agent Cooperation
Jiechuan Jiang
Zongqing Lu
71
488
0
20 May 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
160
1,676
0
30 Mar 2018
Inequity aversion improves cooperation in intertemporal social dilemmas
Inequity aversion improves cooperation in intertemporal social dilemmas
Edward Hughes
Joel Z Leibo
Matthew Phillips
K. Tuyls
Edgar A. Duénez-Guzmán
...
Tina Zhu
Kevin R. McKee
Raphael Köster
H. Roff
T. Graepel
62
209
0
23 Mar 2018
Machine Theory of Mind
Machine Theory of Mind
Neil C. Rabinowitz
Frank Perbet
H. F. Song
Chiyuan Zhang
S. M. Ali Eslami
M. Botvinick
AI4CE
128
479
0
21 Feb 2018
Mean Field Multi-Agent Reinforcement Learning
Mean Field Multi-Agent Reinforcement Learning
Yaodong Yang
Rui Luo
Minne Li
M. Zhou
Weinan Zhang
Jun Wang
AI4CE
69
575
0
15 Feb 2018
A Deep Policy Inference Q-Network for Multi-Agent Systems
A Deep Policy Inference Q-Network for Multi-Agent Systems
Zhang-Wei Hong
Shih-Yang Su
Tzu-Yun Shann
Yi-Hsiang Chang
Chun-Yi Lee
58
84
0
21 Dec 2017
Meta Learning Shared Hierarchies
Meta Learning Shared Hierarchies
Kevin Frans
Jonathan Ho
Xi Chen
Pieter Abbeel
John Schulman
66
355
0
26 Oct 2017
Prosocial learning agents solve generalized Stag Hunts better than
  selfish ones
Prosocial learning agents solve generalized Stag Hunts better than selfish ones
A. Peysakhovich
Adam Lerer
84
109
0
08 Sep 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
541
19,265
0
20 Jul 2017
Value-Decomposition Networks For Cooperative Multi-Agent Learning
Value-Decomposition Networks For Cooperative Multi-Agent Learning
P. Sunehag
Guy Lever
A. Gruslys
Wojciech M. Czarnecki
V. Zambaldi
...
Marc Lanctot
Nicolas Sonnerat
Joel Z Leibo
K. Tuyls
T. Graepel
73
1,013
0
16 Jun 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan J. Lowe
Yi Wu
Aviv Tamar
J. Harb
Pieter Abbeel
Igor Mordatch
162
4,509
0
07 Jun 2017
Counterfactual Multi-Agent Policy Gradients
Counterfactual Multi-Agent Policy Gradients
Jakob N. Foerster
Gregory Farquhar
Triantafyllos Afouras
Nantas Nardelli
Shimon Whiteson
145
2,087
0
24 May 2017
FeUdal Networks for Hierarchical Reinforcement Learning
FeUdal Networks for Hierarchical Reinforcement Learning
A. Vezhnevets
Simon Osindero
Tom Schaul
N. Heess
Max Jaderberg
David Silver
Koray Kavukcuoglu
FedML
96
907
0
03 Mar 2017
The Option-Critic Architecture
The Option-Critic Architecture
Pierre-Luc Bacon
J. Harb
Doina Precup
OffRL
71
1,089
0
16 Sep 2016
Learning Multiagent Communication with Backpropagation
Learning Multiagent Communication with Backpropagation
Sainbayar Sukhbaatar
Arthur Szlam
Rob Fergus
227
1,150
0
25 May 2016
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