Evaluating Liquid Neural Networks on a Behavioral Cloning Quadrotor Control Problem
This paper evaluates Liquid Neural Networks (LNNs) on an energy-optimal quadrotor control benchmark formulated as a behavioral cloning problem. Several LNN variants, including ordinary differential equation (ODE)-based formulations and closed-form continuous-time (CfC) models, are compared against classical recurrent a...