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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

19 December 2019
Yingying Li
Yujie Tang
Runyu Zhang
Na Li
ArXivPDFHTML

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
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
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
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
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
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
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
  $\mathcal{H}_\infty$ Robust Control: A Revisit of Nonsmooth Synthesis with
  Goldstein Subdifferential
Global Convergence of Direct Policy Search for State-Feedback H∞\mathcal{H}_\inftyH∞​ 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
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
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
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
Cooperative Multi-Agent Reinforcement Learning with Partial Observations
Yan Zhang
Michael M. Zavlanos
OffRL
30
22
0
18 Jun 2020
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