Enhancing package formation in a food packaging system based on reinforcement learning

Abstract

Methods and apparatus, including computer program products, are described for forming individual packages in a food packaging machine (100) comprising a plurality of sub-systems. One or more local variable values (142) are received, which indicate measurements by the food packaging machine (100) of one or more physical parameters for a local sub-system (120). One or more remote variable values (204) are received, which indicate measurements by the food packaging machine (100) of one or more physical parameters for one or remote sub-systems. One or more control parameter values are determined for the local sub-system (120) of the food packaging machine (100), by processing the remote variable values (204) and the local variable values (142) using a reinforcement learning model (206) and a local control model (210). One or more control parameters of the local sub-system (120) are adjusted in accordance with the determined control parameter values. The formation of individual packages (122) by the food packaging machine (100) is controlled in accordance with the adjusted one or more control parameters.

Dependencies are inferred from the claim text.