Discovery of interaction and diffusion kernels in particle-to-mean-field multi-agent systems

Giacomo Albi, Alessandro Alla, Elisa Calzola

We propose a data-driven framework to learn interaction kernels in stochastic multi-agent systems. Our approach aims at identifying the functional form of nonlocal interaction and…