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Model-Free $μ$ Synthesis via Adversarial Reinforcement Learning

Model-Free μμμ Synthesis via Adversarial Reinforcement Learning

30 November 2021
Darioush Keivan
Aaron J. Havens
Peter M. Seiler
Geir Dullerud
Bin Hu
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Papers citing "Model-Free $μ$ Synthesis via Adversarial Reinforcement Learning"

2 / 2 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
33
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
1