2017
Recursive Regression with Neural Networks: Approximating the HJI PDE Solution
ICLR 2017workshop
Most machine learning applications using neural networks seek to approximate some function g(x) by minimizing some cost criterion. In the simplest case, if one has access to pairs of the form (x, y) where y = g(x), the problem can be framed as a regression problem. Beyond this family of problems, we…