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Global Convergence Using Policy Gradient Methods for Model-free
  Markovian Jump Linear Quadratic Control

Global Convergence Using Policy Gradient Methods for Model-free Markovian Jump Linear Quadratic Control

30 November 2021
Santanu Rathod
Manoj Bhadu
A. De
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Papers citing "Global Convergence Using Policy Gradient Methods for Model-free Markovian Jump Linear Quadratic Control"

5 / 5 papers shown
Title
Policy Gradient for LQR with Domain Randomization
Policy Gradient for LQR with Domain Randomization
Tesshu Fujinami
Bruce D. Lee
Nikolai Matni
George J. Pappas
34
0
0
31 Mar 2025
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
36
0
0
18 Feb 2024
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
41
12
0
20 Oct 2022
Towards a Theoretical Foundation of Policy Optimization for Learning
  Control Policies
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies
Bin Hu
Kaipeng Zhang
Na Li
M. Mesbahi
Maryam Fazel
Tamer Bacsar
87
27
0
10 Oct 2022
Spectral Filtering for General Linear Dynamical Systems
Spectral Filtering for General Linear Dynamical Systems
Elad Hazan
Holden Lee
Karan Singh
Cyril Zhang
Yi Zhang
45
97
0
12 Feb 2018
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