An Extreme Learning Machine-Based Method for Solving Linear–Quadratic Nonzero-Sum Differential Games
Multi-agent interaction in linear–quadratic (LQ) differential games gives rise to open-loop Nash equilibria that rarely admit closed-form expressions, motivating the development of reliable numerical solvers. Classical approaches such as shooting and spectral collocation are sensitive to the initial guess on the unknow...