2025
Neural Lyapunov Function Approximation with Self-Supervised Reinforcement Learning
ICRA 2025
Control Lyapunov functions are traditionally used to design a controller which ensures convergence to a desired state, yet deriving these functions for nonlinear systems remains a complex challenge. This paper presents a novel, sample-efficient method for neural approximation of nonlinear Lyapunov f