Reinforcement Learning in Manufacturing QC
This infographic explains the workflow of Reinforcement Learning (RL) in Manufacturing Quality Control (QC). It illustrates how data is collected from sensors and production machines, processed by an RL agent that makes decisions, and applied as actions on machines. Feedback from quality outcomes (rewards and penalties) allows the system to continuously learn and improve process efficiency, reducing defects and maintaining high-quality standards.
