Method and Apparatus for Training a Machine Learning System

Abstract

A computer-implemented method for training a machine learning system for use in model predictive control of a technical system is disclosed. The machine learning system is configured to determine, with respect to an operating state and/or an environmental state of the technical system to be controlled, a value that characterizes a quality of said state. The method includes (i) determining a plurality of operating states and/or environmental states of the technical system to be controlled, (ii) determining a quality value of a state of the plurality of operating states and/or environmental states, wherein the quality value characterizes a quality of the state with respect to a model predictive control, and (iii) training the machine learning system through supervised training of the machine learning system, wherein the state is used as input to the machine learning system and the determined quality value is used as desired output of the machine learning system.

Dependencies are inferred from the claim text.