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Fully Decentralized Multi-Agent Reinforcement Learning with Networked
  Agents
v1v2 (latest)

Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents

23 February 2018
Kai Zhang
Zhuoran Yang
Han Liu
Tong Zhang
Tamer Basar
ArXiv (abs)PDFHTML

Papers citing "Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents"

40 / 240 papers shown
Title
Distributed Learning in the Non-Convex World: From Batch to Streaming
  Data, and Beyond
Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond
Tsung-Hui Chang
Mingyi Hong
Hoi-To Wai
Xinwei Zhang
Songtao Lu
GNN
63
13
0
14 Jan 2020
Distributed Reinforcement Learning for Decentralized Linear Quadratic
  Control: A Derivative-Free Policy Optimization Approach
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach
Yingying Li
Yujie Tang
Runyu Zhang
Na Li
107
102
0
19 Dec 2019
Natural Actor-Critic Converges Globally for Hierarchical Linear
  Quadratic Regulator
Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator
Yuwei Luo
Zhuoran Yang
Zhaoran Wang
Mladen Kolar
94
9
0
14 Dec 2019
Intelligent Coordination among Multiple Traffic Intersections Using
  Multi-Agent Reinforcement Learning
Intelligent Coordination among Multiple Traffic Intersections Using Multi-Agent Reinforcement Learning
Ujwal Padam Tewari
Vishal Bidawatka
Varsha Raveendran
Vinay Sudhakaran
Shreedhar Kodate Shreeshail
Jayanth Prakash Kulkarni
26
5
0
09 Dec 2019
Decentralized Multi-Agent Reinforcement Learning with Networked Agents:
  Recent Advances
Decentralized Multi-Agent Reinforcement Learning with Networked Agents: Recent Advances
Kai Zhang
Zhuoran Yang
Tamer Basar
71
68
0
09 Dec 2019
Scalable Reinforcement Learning for Multi-Agent Networked Systems
Scalable Reinforcement Learning for Multi-Agent Networked Systems
Guannan Qu
Adam Wierman
Na Li
68
35
0
05 Dec 2019
Deep Fictitious Play for Finding Markovian Nash Equilibrium in
  Multi-Agent Games
Deep Fictitious Play for Finding Markovian Nash Equilibrium in Multi-Agent Games
Jiequn Han
Ruimeng Hu
63
45
0
04 Dec 2019
Optimization for Reinforcement Learning: From Single Agent to
  Cooperative Agents
Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents
Dong-hwan Lee
Niao He
Parameswaran Kamalaruban
Volkan Cevher
63
89
0
01 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and
  Algorithms
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Kai Zhang
Zhuoran Yang
Tamer Basar
233
1,230
0
24 Nov 2019
Finite-Sample Analysis of Decentralized Temporal-Difference Learning
  with Linear Function Approximation
Finite-Sample Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation
Jun Sun
Gang Wang
G. Giannakis
Qinmin Yang
Zaiyue Yang
OffRL
88
20
0
03 Nov 2019
Non-Cooperative Inverse Reinforcement Learning
Non-Cooperative Inverse Reinforcement Learning
Xiangyuan Zhang
Kai Zhang
Erik Miehling
Tamer Basar
97
23
0
03 Nov 2019
On the Sample Complexity of Actor-Critic Method for Reinforcement
  Learning with Function Approximation
On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation
Harshat Kumar
Alec Koppel
Alejandro Ribeiro
171
84
0
18 Oct 2019
Decentralized Multi-Agent Actor-Critic with Generative Inference
Decentralized Multi-Agent Actor-Critic with Generative Inference
Kevin Corder
Manuel M. Vindiola
Keith S. Decker
OffRL
46
5
0
07 Oct 2019
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network
Heechang Ryu
Hayong Shin
Jinkyoo Park
60
118
0
27 Sep 2019
Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree
  Dependence Structure
Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure
Guannan Qu
Na Li
50
21
0
15 Sep 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin Oroojlooyjadid
Davood Hajinezhad
120
437
0
11 Aug 2019
Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic
  Primal-Dual Optimization
Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization
Dongsheng Ding
Xiaohan Wei
Zhuoran Yang
Zhaoran Wang
M. Jovanović
63
15
0
07 Aug 2019
Online Planning for Decentralized Stochastic Control with Partial
  History Sharing
Online Planning for Decentralized Stochastic Control with Partial History Sharing
Kai Zhang
Erik Miehling
Tamer Basar
72
14
0
06 Aug 2019
Finite-Time Performance of Distributed Temporal Difference Learning with
  Linear Function Approximation
Finite-Time Performance of Distributed Temporal Difference Learning with Linear Function Approximation
Thinh T. Doan
S. T. Maguluri
Justin Romberg
82
42
0
25 Jul 2019
A Convergence Result for Regularized Actor-Critic Methods
A Convergence Result for Regularized Actor-Critic Methods
Wesley A Suttle
Zhuoran Yang
Kai Zhang
Ji Liu
28
1
0
13 Jul 2019
A Communication-Efficient Multi-Agent Actor-Critic Algorithm for
  Distributed Reinforcement Learning
A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning
Yixuan Lin
Kai Zhang
Zhuoran Yang
Zhaoran Wang
Tamer Basar
Romeil Sandhu
Ji Liu
70
35
0
06 Jul 2019
Voting-Based Multi-Agent Reinforcement Learning for Intelligent IoT
Voting-Based Multi-Agent Reinforcement Learning for Intelligent IoT
Yue Xu
Zengde Deng
Mengdi Wang
Wenjun Xu
Anthony Man-Cho So
Shuguang Cui
52
14
0
02 Jul 2019
Global Convergence of Policy Gradient Methods to (Almost) Locally
  Optimal Policies
Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies
Kai Zhang
Alec Koppel
Haoqi Zhu
Tamer Basar
111
191
0
19 Jun 2019
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum
  Linear Quadratic Games
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games
Kai Zhang
Zhuoran Yang
Tamer Basar
111
128
0
31 May 2019
Multi-Agent Image Classification via Reinforcement Learning
Multi-Agent Image Classification via Reinforcement Learning
Hossein K. Mousavi
M. Nazari
Martin Takáč
N. Motee
43
26
0
13 May 2019
Distributed off-Policy Actor-Critic Reinforcement Learning with Policy
  Consensus
Distributed off-Policy Actor-Critic Reinforcement Learning with Policy Consensus
Yan Zhang
Michael M. Zavlanos
OffRL
74
47
0
21 Mar 2019
A Multi-Agent Off-Policy Actor-Critic Algorithm for Distributed
  Reinforcement Learning
A Multi-Agent Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning
Wesley A Suttle
Zhuoran Yang
Kai Zhang
Zhaoran Wang
Tamer Basar
Ji Liu
OffRL
84
64
0
15 Mar 2019
Winning an Election: On Emergent Strategic Communication in Multi-Agent
  Networks
Winning an Election: On Emergent Strategic Communication in Multi-Agent Networks
Shubham Gupta
Ambedkar Dukkipati
30
4
0
19 Feb 2019
Leveraging Communication Topologies Between Learning Agents in Deep
  Reinforcement Learning
Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning
D. Adjodah
D. Calacci
Abhimanyu Dubey
Anirudh Goyal
P. Krafft
Esteban Moro Egido
Alex Pentland
AI4CE
72
8
0
16 Feb 2019
Value Propagation for Decentralized Networked Deep Multi-agent
  Reinforcement Learning
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning
Chao Qu
Shie Mannor
Huan Xu
Yuan Qi
Le Song
Junwu Xiong
84
44
0
27 Jan 2019
A Deep Recurrent Q Network towards Self-adapting Distributed
  Microservices architecture
A Deep Recurrent Q Network towards Self-adapting Distributed Microservices architecture
Basel Magableh
55
16
0
13 Jan 2019
Communication-Efficient Policy Gradient Methods for Distributed
  Reinforcement Learning
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning
Tianyi Chen
Kai Zhang
G. Giannakis
Tamer Basar
OffRL
100
41
0
07 Dec 2018
Finite-Sample Analysis For Decentralized Batch Multi-Agent Reinforcement
  Learning With Networked Agents
Finite-Sample Analysis For Decentralized Batch Multi-Agent Reinforcement Learning With Networked Agents
Kai Zhang
Zhuoran Yang
Han Liu
Tong Zhang
Tamer Basar
OffRL
106
26
0
06 Dec 2018
Distributed Learning of Average Belief Over Networks Using Sequential
  Observations
Distributed Learning of Average Belief Over Networks Using Sequential Observations
Kai Zhang
Yang Liu
Ji Liu
M. Liu
Tamer Basar
FedML
87
15
0
19 Nov 2018
Learning and Management for Internet-of-Things: Accounting for
  Adaptivity and Scalability
Learning and Management for Internet-of-Things: Accounting for Adaptivity and Scalability
Tianyi Chen
Sergio Barbarossa
Xin Wang
G. Giannakis
Zhi-Li Zhang
73
81
0
27 Oct 2018
Multi-Agent Actor-Critic with Generative Cooperative Policy Network
Multi-Agent Actor-Critic with Generative Cooperative Policy Network
Heechang Ryu
Hayong Shin
Jinkyoo Park
53
12
0
22 Oct 2018
Graph Convolutional Reinforcement Learning
Graph Convolutional Reinforcement Learning
Jiechuan Jiang
Chen Dun
Tiejun Huang
Zongqing Lu
GNN
82
340
0
22 Oct 2018
Multi-Agent Fully Decentralized Value Function Learning with Linear
  Convergence Rates
Multi-Agent Fully Decentralized Value Function Learning with Linear Convergence Rates
Lucas Cassano
Kun Yuan
Ali H. Sayed
81
40
0
17 Oct 2018
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement
  Learning
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
Jiachen Yang
A. Nakhaei
David Isele
K. Fujimura
H. Zha
75
77
0
13 Sep 2018
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual
  Optimization
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization
Hoi-To Wai
Zhuoran Yang
Zhaoran Wang
Mingyi Hong
101
170
0
03 Jun 2018
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