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On the Optimization Landscape of Dynamic Output Feedback: A Case Study
  for Linear Quadratic Regulator
v1v2v3 (latest)

On the Optimization Landscape of Dynamic Output Feedback: A Case Study for Linear Quadratic Regulator

12 September 2022
Jingliang Duan
Wenhan Cao
Yanggu Zheng
Lin Zhao
ArXiv (abs)PDFHTML

Papers citing "On the Optimization Landscape of Dynamic Output Feedback: A Case Study for Linear Quadratic Regulator"

10 / 10 papers shown
Title
Policy Optimization for Markovian Jump Linear Quadratic Control:
  Gradient-Based Methods and Global Convergence
Policy Optimization for Markovian Jump Linear Quadratic Control: Gradient-Based Methods and Global Convergence
Joao Paulo Jansch-Porto
Bin Hu
Geir Dullerud
52
8
0
24 Nov 2020
Primal-dual Learning for the Model-free Risk-constrained Linear
  Quadratic Regulator
Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic Regulator
Feiran Zhao
Keyou You
46
21
0
22 Nov 2020
Policy Gradient Methods for the Noisy Linear Quadratic Regulator over a
  Finite Horizon
Policy Gradient Methods for the Noisy Linear Quadratic Regulator over a Finite Horizon
B. Hambly
Renyuan Xu
Huining Yang
63
63
0
20 Nov 2020
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for
  Addressing Value Estimation Errors
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors
Jingliang Duan
Yang Guan
Shengbo Eben Li
Yangang Ren
B. Cheng
OffRL
52
182
0
09 Jan 2020
Policy Optimization for $\mathcal{H}_2$ Linear Control with
  $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global
  Convergence
Policy Optimization for H2\mathcal{H}_2H2​ Linear Control with H∞\mathcal{H}_\inftyH∞​ Robustness Guarantee: Implicit Regularization and Global Convergence
Kai Zhang
Bin Hu
Tamer Basar
60
121
0
21 Oct 2019
Global Optimality Guarantees For Policy Gradient Methods
Global Optimality Guarantees For Policy Gradient Methods
Jalaj Bhandari
Daniel Russo
82
194
0
05 Jun 2019
Derivative-Free Methods for Policy Optimization: Guarantees for Linear
  Quadratic Systems
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
Dhruv Malik
A. Pananjady
Kush S. Bhatia
K. Khamaru
Peter L. Bartlett
Martin J. Wainwright
51
199
0
20 Dec 2018
Global Convergence of Policy Gradient Methods for the Linear Quadratic
  Regulator
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator
Maryam Fazel
Rong Ge
Sham Kakade
M. Mesbahi
84
609
0
15 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
317
8,406
0
04 Jan 2018
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
325
13,286
0
09 Sep 2015
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