Policy Gradient Converges to the Globally Optimal Policy for Nearly Linear-Quadratic Regulators

15 March 2023

Papers citing "Policy Gradient Converges to the Globally Optimal Policy for Nearly Linear-Quadratic Regulators"

4 / 4 papers shown

Title
Fast Policy Learning for Linear Quadratic Control with Entropy Regularization Xin Guo Xinyu Li Renyuan Xu 26 3 0 23 Nov 2023
A Fisher-Rao gradient flow for entropy-regularised Markov decision processes in Polish spaces B. Kerimkulov J. Leahy David Siska Lukasz Szpruch Yufei Zhang 16 7 0 04 Oct 2023
Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity and Last-Iterate Convergence Jiduan Wu Anas Barakat Ilyas Fatkhullin Niao He 18 5 0 08 Sep 2023
On Linear Convergence of Policy Gradient Methods for Finite MDPs Jalaj Bhandari Daniel Russo 48 59 0 21 Jul 2020