---
publication_id: "OT-2026-000003062"
title: "Method and a system for applying machine learning to an application"
published_at: "2026-09-15T19:17:05.179244Z"
canonical_url: "https://opentechnical.org/p/OT-2026-000003062"
categories:
  - "sensors-controls-machine-vision/industrial-control"
keywords:
  - "g05b13/0265"
  - "g06n20/00"
  - "g06n20/00"
  - "b25j9/16"
  - "b25j9/163"
  - "b25j9/163"
---

# Method and a system for applying machine learning to an application

## Abstract

A method for applying machine learning to an application includes: a) generating a candidate policy by a learner; b) executing a program in at least one simulated application based on a set of candidate parameters provided based on the candidate policy and a state of the at least one simulated application, execution of the program providing interim results of tested sets of candidate parameters based on a measured performance information of the execution of the program; c) collecting a predetermined number of interim results and providing an end result based on a combination of the candidate parameters and/or the state with the measured performances information by a trainer; and d) generating a new candidate policy by the learner based on the end result.