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  4. Cited By
Correlation Decay in Random Decision Networks

Correlation Decay in Random Decision Networks

2 December 2009
D. Gamarnik
D. Goldberg
T. Weber
ArXiv (abs)PDFHTML

Papers citing "Correlation Decay in Random Decision Networks"

9 / 9 papers shown
Title
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning
Emile Anand
Ishani Karmarkar
Guannan Qu
369
3
0
01 Dec 2024
Global Convergence of Localized Policy Iteration in Networked
  Multi-Agent Reinforcement Learning
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement LearningProceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2022
Yizhou Zhang
Guannan Qu
Pan Xu
Yiheng Lin
Zaiwei Chen
Adam Wierman
126
29
0
30 Nov 2022
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent
  Reinforcement Learning
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning
Carlo Alfano
Patrick Rebeschini
139
5
0
23 Sep 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network
  Approach
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network ApproachMathematics of Operations Research (MOR), 2021
Haotian Gu
Xin Guo
Xiaoli Wei
Renyuan Xu
OOD
166
43
0
05 Aug 2021
Scalable Multi-Agent Reinforcement Learning for Networked Systems with
  Average Reward
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average RewardNeural Information Processing Systems (NeurIPS), 2020
Guannan Qu
Yiheng Lin
Adam Wierman
Na Li
120
79
0
11 Jun 2020
Multi-Agent Reinforcement Learning in Stochastic Networked Systems
Multi-Agent Reinforcement Learning in Stochastic Networked SystemsNeural Information Processing Systems (NeurIPS), 2020
Yiheng Lin
Guannan Qu
Longbo Huang
Adam Wierman
188
43
0
11 Jun 2020
Scalable Reinforcement Learning for Multi-Agent Networked Systems
Scalable Reinforcement Learning for Multi-Agent Networked SystemsOperational Research (OR), 2019
Guannan Qu
Adam Wierman
Na Li
186
42
0
05 Dec 2019
Structure learning of antiferromagnetic Ising models
Structure learning of antiferromagnetic Ising modelsNeural Information Processing Systems (NeurIPS), 2014
Guy Bresler
D. Gamarnik
Devavrat Shah
219
43
0
03 Dec 2014
Online discrete optimization in social networks in the presence of
  Knightian uncertainty
Online discrete optimization in social networks in the presence of Knightian uncertaintyOperational Research (OR), 2013
Maxim Raginsky
A. Nedić
140
4
0
01 Jul 2013
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