Koopman operator theory has proven to be a promising approach to nonlinear system
identification and global linearization. For nearly a century, there had been no efficient …

This article proposes a data-efficient model-free reinforcement learning (RL) algorithm using
Koopman operators for complex nonlinear systems. A high-dimensional data-driven optimal …

Complex multiagent systems (MASs) are pervasive in various fields, from power system
networks, and autonomous robotics to traffic management, where groups of agents interact …