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Fully Decentralized Multi-Agent Reinforcement Learning with Networked
  Agents

Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents

23 February 2018
K. Zhang
Zhuoran Yang
Han Liu
Tong Zhang
Tamer Basar
ArXivPDFHTML

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

26 / 76 papers shown
Title
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid
  Control
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control
Dong Chen
Kaian Chen
Tianshu Chu
Rui Yao
F. Qiu
Kaixiang Lin
30
64
0
24 Nov 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun-Jie Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
134
193
0
19 Oct 2020
RODE: Learning Roles to Decompose Multi-Agent Tasks
RODE: Learning Roles to Decompose Multi-Agent Tasks
Tonghan Wang
Tarun Gupta
Anuj Mahajan
Bei Peng
Shimon Whiteson
Chongjie Zhang
OffRL
14
202
0
04 Oct 2020
Off-Policy Multi-Agent Decomposed Policy Gradients
Off-Policy Multi-Agent Decomposed Policy Gradients
Yihan Wang
Beining Han
Tonghan Wang
Heng Dong
Chongjie Zhang
19
174
0
24 Jul 2020
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal
  Sample Complexity
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity
K. Zhang
Sham Kakade
Tamer Bacsar
Lin F. Yang
39
119
0
15 Jul 2020
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration
  for Mean-Field Reinforcement Learning
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning
Lingxiao Wang
Zhuoran Yang
Zhaoran Wang
18
26
0
21 Jun 2020
Cooperative Multi-Agent Reinforcement Learning with Partial Observations
Cooperative Multi-Agent Reinforcement Learning with Partial Observations
Yan Zhang
Michael M. Zavlanos
OffRL
22
22
0
18 Jun 2020
Scalable Multi-Agent Reinforcement Learning for Networked Systems with
  Average Reward
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward
Guannan Qu
Yiheng Lin
Adam Wierman
Na Li
10
69
0
11 Jun 2020
Multi-Agent Reinforcement Learning in Stochastic Networked Systems
Multi-Agent Reinforcement Learning in Stochastic Networked Systems
Yiheng Lin
Guannan Qu
Longbo Huang
Adam Wierman
16
38
0
11 Jun 2020
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
26
9
0
14 Dec 2019
Scalable Reinforcement Learning for Multi-Agent Networked Systems
Scalable Reinforcement Learning for Multi-Agent Networked Systems
Guannan Qu
Adam Wierman
Na Li
14
31
0
05 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and
  Algorithms
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
K. Zhang
Zhuoran Yang
Tamer Basar
36
1,178
0
24 Nov 2019
Non-Cooperative Inverse Reinforcement Learning
Non-Cooperative Inverse Reinforcement Learning
Xiangyuan Zhang
K. Zhang
Erik Miehling
Tamer Basar
6
22
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
99
79
0
18 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
9
114
0
27 Sep 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin Oroojlooyjadid
Davood Hajinezhad
40
408
0
11 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
J. Romberg
14
40
0
25 Jul 2019
Global Convergence of Policy Gradient Methods to (Almost) Locally
  Optimal Policies
Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies
K. Zhang
Alec Koppel
Haoqi Zhu
Tamer Basar
28
186
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
K. Zhang
Zhuoran Yang
Tamer Basar
13
125
0
31 May 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
14
8
0
16 Feb 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
18
15
0
13 Jan 2019
Communication-Efficient Policy Gradient Methods for Distributed
  Reinforcement Learning
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning
Tianyi Chen
K. Zhang
G. Giannakis
Tamer Basar
OffRL
16
41
0
07 Dec 2018
Graph Convolutional Reinforcement Learning
Graph Convolutional Reinforcement Learning
Jiechuan Jiang
Chen Dun
Tiejun Huang
Zongqing Lu
GNN
11
335
0
22 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
18
75
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
20
169
0
03 Jun 2018
Stabilising Experience Replay for Deep Multi-Agent Reinforcement
  Learning
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip H. S. Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
109
595
0
28 Feb 2017
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