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1910.14472
Cited By
Learning Fairness in Multi-Agent Systems
31 October 2019
Jiechuan Jiang
Zongqing Lu
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Papers citing
"Learning Fairness in Multi-Agent Systems"
22 / 22 papers shown
Title
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
Shresth Verma
Niclas Boehmer
Lingkai Kong
Milind Tambe
128
3
0
17 Jan 2025
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
Xihan Li
Jia Zhang
Jiang Bian
Yunhai Tong
Tie-Yan Liu
64
56
0
02 Mar 2019
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
Jiechuan Jiang
Chen Dun
Tiejun Huang
Zongqing Lu
GNN
66
338
0
22 Oct 2018
Data-Efficient Hierarchical Reinforcement Learning
Ofir Nachum
S. Gu
Honglak Lee
Sergey Levine
OffRL
99
811
0
21 May 2018
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
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
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
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
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
Zhang-Wei Hong
Shih-Yang Su
Tzu-Yun Shann
Yi-Hsiang Chang
Chun-Yi Lee
56
84
0
21 Dec 2017
Meta Learning Shared Hierarchies
Kevin Frans
Jonathan Ho
Xi Chen
Pieter Abbeel
John Schulman
63
355
0
26 Oct 2017
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
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
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
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
Jakob N. Foerster
Gregory Farquhar
Triantafyllos Afouras
Nantas Nardelli
Shimon Whiteson
140
2,087
0
24 May 2017
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
Pierre-Luc Bacon
J. Harb
Doina Precup
OffRL
71
1,089
0
16 Sep 2016
Learning Multiagent Communication with Backpropagation
Sainbayar Sukhbaatar
Arthur Szlam
Rob Fergus
227
1,150
0
25 May 2016
1