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

Author:

Zhang KaiqingORCID,Hu Bin,Başar Tamer

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Control and Optimization

Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Case Study on the Convergence of Direct Policy Search for Linear Quadratic Gaussian Control;2024 American Control Conference (ACC);2024-07-10

2. Semi-Infinitely Constrained Markov Decision Processes and Provably Efficient Reinforcement Learning;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-05

3. Quantization avoids saddle points in distributed optimization;Proceedings of the National Academy of Sciences;2024-04-19

4. Convergence of Policy Gradient Methods for Finite-Horizon Exploratory Linear-Quadratic Control Problems;SIAM Journal on Control and Optimization;2024-03-22

5. On the Optimization Landscape of Dynamic Output Feedback Linear Quadratic Control;IEEE Transactions on Automatic Control;2024-02

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