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Value Propagation for Decentralized Networked Deep Multi-agent
  Reinforcement Learning
v1v2v3v4 (latest)

Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning

27 January 2019
Chao Qu
Shie Mannor
Huan Xu
Yuan Qi
Le Song
Junwu Xiong
ArXiv (abs)PDFHTML

Papers citing "Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning"

22 / 22 papers shown
Multi-Agent Conditional Diffusion Model with Mean Field Communication as Wireless Resource Allocation Planner
Multi-Agent Conditional Diffusion Model with Mean Field Communication as Wireless Resource Allocation Planner
Kechen Meng
Sinuo Zhang
Rongpeng Li
Xiangming Meng
Chan Wang
Chan Wang
Zhifeng Zhao
Zhifeng Zhao
DiffM
238
0
0
27 Oct 2025
A Communication-Efficient Decentralized Actor-Critic Algorithm
A Communication-Efficient Decentralized Actor-Critic Algorithm
Xiaoxing Ren
Nicola Bastianello
Thomas Parisini
Andreas A. Malikopoulos
159
0
0
22 Oct 2025
Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
Shahbaz P Qadri Syed
He Bai
177
0
0
11 Oct 2025
Privacy-Engineered Value Decomposition Networks for Cooperative
  Multi-Agent Reinforcement Learning
Privacy-Engineered Value Decomposition Networks for Cooperative Multi-Agent Reinforcement LearningIEEE Conference on Decision and Control (CDC), 2023
Parham Gohari
Matthew T. Hale
Ufuk Topcu
OffRL
307
3
0
13 Sep 2023
Knowing the Past to Predict the Future: Reinforcement Virtual Learning
Knowing the Past to Predict the Future: Reinforcement Virtual Learning
Peng Zhang
Yawen Huang
Bingzhang Hu
Shizheng Wang
Haoran Duan
Noura Al Moubayed
Yefeng Zheng
Yang Long
OffRL
210
1
0
02 Nov 2022
MSRL: Distributed Reinforcement Learning with Dataflow Fragments
MSRL: Distributed Reinforcement Learning with Dataflow FragmentsUSENIX Annual Technical Conference (USENIX ATC), 2022
Huanzhou Zhu
Bo Zhao
Gang Chen
Weifeng Chen
Yijie Chen
Liang Shi
Yaodong Yang
Peter R. Pietzuch
Lei Chen
OffRLMoE
247
8
0
03 Oct 2022
Hierarchical Reinforcement Learning with Opponent Modeling for
  Distributed Multi-agent Cooperation
Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent CooperationIEEE International Conference on Distributed Computing Systems (ICDCS), 2022
Zhixuan Liang
Jiannong Cao
Shan Jiang
Divya Saxena
Huafeng Xu
228
12
0
25 Jun 2022
Residual Q-Networks for Value Function Factorizing in Multi-Agent
  Reinforcement Learning
Residual Q-Networks for Value Function Factorizing in Multi-Agent Reinforcement LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Rafael Pina
V. D. Silva
Joosep Hook
A. Kondoz
128
23
0
30 May 2022
Learning to Share in Multi-Agent Reinforcement Learning
Learning to Share in Multi-Agent Reinforcement Learning
Yuxuan Yi
G. Li
Yaowei Wang
Zongqing Lu
345
18
0
16 Dec 2021
MDPGT: Momentum-based Decentralized Policy Gradient Tracking
MDPGT: Momentum-based Decentralized Policy Gradient TrackingAAAI Conference on Artificial Intelligence (AAAI), 2021
Zhanhong Jiang
Xian Yeow Lee
Sin Yong Tan
Kai Liang Tan
Aditya Balu
Young M. Lee
Chinmay Hegde
Soumik Sarkar
255
11
0
06 Dec 2021
Resilient Consensus-based Multi-agent Reinforcement Learning with
  Function Approximation
Resilient Consensus-based Multi-agent Reinforcement Learning with Function Approximation
Martin Figura
Yixuan Lin
Ji Liu
V. Gupta
AAML
222
3
0
12 Nov 2021
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent
  Reinforcement Learning
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2021
Zhaoxing Yang
Rong Ding
Haiming Jin
Yifei Wei
Haoyi You
Guiyun Fan
Xiaoying Gan
Xinbing Wang
217
5
0
10 Nov 2021
Foresight of Graph Reinforcement Learning Latent Permutations Learnt by
  Gumbel Sinkhorn Network
Foresight of Graph Reinforcement Learning Latent Permutations Learnt by Gumbel Sinkhorn Network
Tianqi Shen
Hong Zhang
Qishu Wang
Jiaping Xiao
Yifan Yang
AI4CE
195
1
0
23 Oct 2021
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning
  via Randomized Linear Programming
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear ProgrammingIEEE Conference on Decision and Control (CDC), 2021
Alec Koppel
Amrit Singh Bedi
Bhargav Ganguly
Vaneet Aggarwal
256
5
0
22 Oct 2021
MARL with General Utilities via Decentralized Shadow Reward Actor-Critic
MARL with General Utilities via Decentralized Shadow Reward Actor-Critic
Junyu Zhang
Amrit Singh Bedi
Mengdi Wang
Alec Koppel
255
8
0
29 May 2021
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise
  Rollouts
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise RolloutsInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Weinan Zhang
Xihuai Wang
Jian Shen
Ming Zhou
302
42
0
07 May 2021
Variational Policy Propagation for Multi-agent Reinforcement Learning
Variational Policy Propagation for Multi-agent Reinforcement Learning
Chao Qu
Hui Li
Chang-rui Liu
Junwu Xiong
James Y. Zhang
Wei Chu
Weiqiang Wang
Yuan Qi
L. Song
310
0
0
19 Apr 2020
F2A2: Flexible Fully-decentralized Approximate Actor-critic for
  Cooperative Multi-agent Reinforcement Learning
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement LearningJournal of machine learning research (JMLR), 2020
Wenhao Li
Bo Jin
Xiangfeng Wang
Junchi Yan
H. Zha
439
29
0
17 Apr 2020
Multi-agent Reinforcement Learning for Networked System Control
Multi-agent Reinforcement Learning for Networked System ControlInternational Conference on Learning Representations (ICLR), 2020
Tianshu Chu
Sandeep P. Chinchali
Sachin Katti
293
134
0
03 Apr 2020
Fully Asynchronous Policy Evaluation in Distributed Reinforcement
  Learning over Networks
Fully Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks
Xingyu Sha
Jiaqi Zhang
Keyou You
Jianchao Tan
Tamer Basar
OffRL
462
26
0
01 Mar 2020
Optimization for Reinforcement Learning: From Single Agent to
  Cooperative Agents
Optimization for Reinforcement Learning: From Single Agent to Cooperative AgentsIEEE Signal Processing Magazine (IEEE SPM), 2019
Dong-hwan Lee
Niao He
Parameswaran Kamalaruban
Volkan Cevher
317
103
0
01 Dec 2019
Graph Convolutional Reinforcement Learning
Graph Convolutional Reinforcement Learning
Jiechuan Jiang
Chen Dun
Tiejun Huang
Zongqing Lu
GNN
317
410
0
22 Oct 2018
1
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