Recursive Regression with Neural Networks: Approximating the HJI PDE Solution

no code implementations • 8 Nov 2016 • Vicenç Rubies Royo, Claire Tomlin

The majority of methods used to compute approximations to the Hamilton-Jacobi-Isaacs partial differential equation (HJI PDE) rely on the discretization of the state space to perform dynamic programming updates.

regression