Method of machine-learned verification and advance notice oracles for autonomous systems

Abstract

A method of training, verification, and advanced notice for an autonomous system, comprising: by a machine learning classifier, wherein an adversary vehicle, and a primary vehicle are on the same path; creating a path position probability transition matrix, wherein the path position probability transition matrix comprises an acceleration parameters array of one or more acceleration parameters for a potential position, sorting a sample path, and using Nelite path; creating a samples array, wherein the sample array is one or more paths; evaluating a sample path; sorting the sample path, based at least in part a custom score of a custom score function and selecting a subset of the sample paths as Nelite paths; using the Nelite paths to update the path probability transition matrix and the acceleration parameters array; and repeating until the Nelite paths stabilizes for a predetermined number of iterations.