Hierarchical Reinforcement Learning Controls Industrial Facility

The USPTO published patent application US20260099128A1 covering hierarchical reinforcement learning methods and systems for controlling industrial facilities. The invention uses a high-level controller neural network for strategic decisions and a low-level controller neural network for tactical execution. The filing includes CPC classifications related to control systems and neural networks.

For technology companies and manufacturers developing AI-based control systems for industrial applications, this published application establishes prior art in the field of hierarchical reinforcement learning. Organizations should monitor the prosecution of this application for potential freedom-to-operate considerations if developing similar systems. No immediate compliance obligations arise from this publication.