Learning interaction kernels in heterogeneous systems of agents from multiple trajectories

Fei Lu, Mauro Maggioni, Sui Tang

Systems of interacting particles or agents have wide applications in many disciplines such as Physics, Chemistry, Biology and Economics. These systems are governed by interaction l…