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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

21 October 2019
K. Zhang
Bin Hu
Tamer Basar
ArXivPDFHTML

Papers citing "Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence"

13 / 13 papers shown
Title
Model-Free $μ$-Synthesis: A Nonsmooth Optimization Perspective
Model-Free μμμ-Synthesis: A Nonsmooth Optimization Perspective
Darioush Keivan
Xing-ming Guo
Peter M. Seiler
Geir Dullerud
Bin Hu
28
0
0
18 Feb 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
Policy Gradient Converges to the Globally Optimal Policy for Nearly Linear-Quadratic Regulators
Policy Gradient Converges to the Globally Optimal Policy for Nearly Linear-Quadratic Regulators
Yin-Huan Han
Meisam Razaviyayn
Renyuan Xu
22
5
0
15 Mar 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
How are policy gradient methods affected by the limits of control?
How are policy gradient methods affected by the limits of control?
Ingvar M. Ziemann
Anastasios Tsiamis
H. Sandberg
Nikolai Matni
25
14
0
14 Jun 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of
  Reinforcement Learning
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
L. Pullum
11
2
0
22 Mar 2022
Sample Complexity of Robust Reinforcement Learning with a Generative
  Model
Sample Complexity of Robust Reinforcement Learning with a Generative Model
Kishan Panaganti
D. Kalathil
93
69
0
02 Dec 2021
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
Convergence Guarantees of Policy Optimization Methods for Markovian Jump
  Linear Systems
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
Convergence and sample complexity of gradient methods for the model-free
  linear quadratic regulator problem
Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem
Hesameddin Mohammadi
A. Zare
Mahdi Soltanolkotabi
M. Jovanović
30
121
0
26 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and
  Algorithms
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
K. Zhang
Zhuoran Yang
Tamer Basar
36
1,178
0
24 Nov 2019
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum
  Linear Quadratic Games
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games
K. Zhang
Zhuoran Yang
Tamer Basar
13
125
0
31 May 2019
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Yinlam Chow
Aviv Tamar
Shie Mannor
Marco Pavone
64
310
0
06 Jun 2015
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