IEEE

Reinforcement Learning-Based Zero-Sum Games for Fuzzy Markov Jump Systems via Single-Loop Policy Iteration

Abstract: In this article, a reinforcement learning-based single-loop iteration scheme is developed to address the zero-sum game problem for nonlinear Markov jump systems (MJSs), where the ...
IEEE

Data-Driven Single-Loop Policy Iteration Control of Uncertain Singularly Perturbed Systems

Abstract: Two-player zero-sum games often rely on solving the game algebraic Riccati equation (GARE) in the linear case. However, existing approaches for solving the GARE typically require stringent ...