Machine control based on automated learning of subordinate control skills

US12050440B2 · kind B2 · utility

Assignee

• Siemens Aktiengesellschaft · DE

Inventors

• Judith Mosandl · Dresden, DE
• Daniel Hein · Berlin, DE
• Steffen Udluft · Birkenfeld, DE
• Marc Christian Weber · Munich, DE

Key dates

• Filing date: Mar 11, 2020
• Grant date: Jul 30, 2024
• Expiry date: Jan 9, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/00
• WIPO field: Control
• WIPO sector: Instruments

Abstract

Method and device for controlling a machine in accordance with to multiple control objectives in which machine control is based on automated learning of subordinate control skills, wherein the device provides multiple subordinate control skills which are each assigned to a different one of the multiple control objectives, the device provides multiple learning processes that are reinforcement learning processes that are each assigned to a different one of the multiple control objectives and are configured to optimize the corresponding subordinate control skill based on input data received from the machine, and where the device is configured to determine a superordinate control skill based on the subordinate control skills and to control the machine based on the superordinate control skill.