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1912.11899
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Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem
26 December 2019
Hesameddin Mohammadi
A. Zare
Mahdi Soltanolkotabi
M. Jovanović
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Papers citing
"Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem"
10 / 10 papers shown
Title
Learning Stabilizing Policies via an Unstable Subspace Representation
Leonardo F. Toso
Lintao Ye
James Anderson
23
0
0
02 May 2025
Model-Free
μ
μ
μ
-Synthesis: A Nonsmooth Optimization Perspective
Darioush Keivan
Xing-ming Guo
Peter M. Seiler
Geir Dullerud
Bin Hu
26
0
0
18 Feb 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
Oracle Complexity Reduction for Model-free LQR: A Stochastic Variance-Reduced Policy Gradient Approach
Leonardo F. Toso
Han Wang
James Anderson
27
2
0
19 Sep 2023
Neural Operators of Backstepping Controller and Observer Gain Functions for Reaction-Diffusion PDEs
Miroslav Krstic
Luke Bhan
Yuanyuan Shi
36
28
0
18 Mar 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
22
12
0
20 Oct 2022
Stabilizing Dynamical Systems via Policy Gradient Methods
Juan C. Perdomo
Jack Umenberger
Max Simchowitz
24
44
0
13 Oct 2021
Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems
Joao Paulo Jansch-Porto
Bin Hu
Geir Dullerud
17
35
0
10 Feb 2020
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
119
1,194
0
16 Aug 2016
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