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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
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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
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
Feiran Zhao
Keyou You
46
21
0
22 Nov 2020
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
Jingliang Duan
Yang Guan
Shengbo Eben Li
Yangang Ren
B. Cheng
OffRL
52
182
0
09 Jan 2020
Policy Optimization for
H
2
\mathcal{H}_2
H
2
Linear Control with
H
∞
\mathcal{H}_\infty
H
∞
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
Jalaj Bhandari
Daniel Russo
82
194
0
05 Jun 2019
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
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
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
317
8,406
0
04 Jan 2018
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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