Policy Optimization for H2 Linear Control with H∞ Robustness Guarantee: Implicit Regularization and Global Convergence

Kaiqing Zhang, Bin Hu, Tamer Basar

Abstract: Policy optimization (PO) is a key ingredient for modern reinforcement learning (RL). For control design, certain constraints are usually enforced on the policies to optimize, accounting for either ...