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1912.09135
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Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach
19 December 2019
Yingying Li
Yujie Tang
Runyu Zhang
Na Li
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Papers citing
"Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach"
11 / 11 papers shown
Title
Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR
Shahbaz P Qadri Syed
He Bai
43
0
0
29 Apr 2025
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
Zhe Li
Bicheng Ying
Zidong Liu
Haibo Yang
Haibo Yang
FedML
59
3
0
24 May 2024
Independent RL for Cooperative-Competitive Agents: A Mean-Field Perspective
Muhammad Aneeq uz Zaman
Alec Koppel
Mathieu Laurière
Tamer Basar
39
3
0
17 Mar 2024
Distributed Policy Gradient for Linear Quadratic Networked Control with Limited Communication Range
Yuzi Yan
Yuan-Chung Shen
26
0
0
05 Mar 2024
On the Hardness of Learning to Stabilize Linear Systems
Xiong Zeng
Zexiang Liu
Zhe Du
N. Ozay
Mario Sznaier
21
3
0
18 Nov 2023
Learning the Kalman Filter with Fine-Grained Sample Complexity
Xiangyuan Zhang
Bin Hu
Tamer Bacsar
18
16
0
30 Jan 2023
Global Convergence of Direct Policy Search for State-Feedback
H
∞
\mathcal{H}_\infty
H
∞
Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential
Xing-ming Guo
Bin Hu
30
12
0
20 Oct 2022
On the Sample Complexity of Decentralized Linear Quadratic Regulator with Partially Nested Information Structure
Lintao Ye
Haoqi Zhu
V. Gupta
22
14
0
14 Oct 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach
Haotian Gu
Xin Guo
Xiaoli Wei
Renyuan Xu
OOD
29
36
0
05 Aug 2021
Gradient play in stochastic games: stationary points, convergence, and sample complexity
Runyu Zhang
Zhaolin Ren
Na Li
26
43
0
01 Jun 2021
Cooperative Multi-Agent Reinforcement Learning with Partial Observations
Yan Zhang
Michael M. Zavlanos
OffRL
30
22
0
18 Jun 2020
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