Qing-Hua Wang

Large Language Model Driven Reinforcement Learning based Intelligent Control Method for Industrial Cyber-Physical Systems

Controllers which can interpret and react to high-dimensional process state and perturbations without loss of stability are needed for industrial cyber-physical systems. In this paper, we propose a large language model driven reinforcement learning approach based on semantic state augmentation using the Llama-3-8B mode...