Convergence Guarantees of Policy Optimization Methods for Markovian Jump
Linear Systems

Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems

10 February 2020

Joao Paulo Jansch-Porto

Geir Dullerud

Papers citing "Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems"

16 / 16 papers shown

Title
Model-Free $μ$ -Synthesis: A Nonsmooth Optimization Perspective Darioush Keivan Xing-ming Guo Peter M. Seiler Geir Dullerud Bin Hu 30 0 0 18 Feb 2024
Policy Gradient Converges to the Globally Optimal Policy for Nearly Linear-Quadratic Regulators Yin-Huan Han Meisam Razaviyayn Renyuan Xu 27 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 $\mathcal{H}_\infty$ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential Xing-ming Guo Bin Hu 38 12 0 20 Oct 2022
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
Model-Free $μ$ Synthesis via Adversarial Reinforcement Learning Darioush Keivan Aaron J. Havens Peter M. Seiler Geir Dullerud Bin Hu 13 7 0 30 Nov 2021
Softmax Policy Gradient Methods Can Take Exponential Time to Converge Gen Li Yuting Wei Yuejie Chi Yuxin Chen 23 50 0 22 Feb 2021
Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity Kaipeng Zhang Xiangyuan Zhang Bin Hu Tamer Bacsar 21 19 0 04 Jan 2021
Approximate Midpoint Policy Iteration for Linear Quadratic Control Benjamin J. Gravell Iman Shames Tyler H. Summers 15 1 0 28 Nov 2020
Policy Optimization for Markovian Jump Linear Quadratic Control: Gradient-Based Methods and Global Convergence Joao Paulo Jansch-Porto Bin Hu Geir Dullerud 16 8 0 24 Nov 2020
Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic Regulator Feiran Zhao Keyou You 15 20 0 22 Nov 2020
Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation Bo Pang Zhong-Ping Jiang 40 34 0 25 Aug 2020
Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems Joao Paulo Jansch-Porto Bin Hu Geir Dullerud 17 16 0 04 Jun 2020
Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem Hesameddin Mohammadi A. Zare Mahdi Soltanolkotabi M. Jovanović 32 121 0 26 Dec 2019
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach Yingying Li Yujie Tang Runyu Zhang Na Li 16 101 0 19 Dec 2019
$Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence$ Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence Kaipeng Zhang Bin Hu Tamer Basar 24 119 0 21 Oct 2019
Learning robust control for LQR systems with multiplicative noise via policy gradient Benjamin J. Gravell Peyman Mohajerin Esfahani Tyler H. Summers 23 26 0 28 May 2019