Learning to Schedule Machines and Operators: A Human-Aware Deep Q-Learning Framework for Dynamic Flexible Job Shops
A human-centered Deep Reinforcement Learning framework, DD4LQN, for dynamic flexible job shop scheduling under operator learning and forgetting dynamics, which integrates a disturbance-aware scenario generator, bounded logistic learning-forgetting dynamics, and deterministic Dual Pair Ranking to ensure auditable decisi...