HIGHLIGHTS
- who: Problems Based on Dueling et al. from the Department of Industrial Manufacturing Systems Engineering, Beihang University, Beijing, China have published the research: Research on Adaptive Job Shop Scheduling Problems Based on Dueling Double DQN, in the Journal: (JOURNAL)
- what: Traditional approaches for job shop scheduling are ill-suited to deal with complex changeable production environments due to their limited real-time responsiveness. disjunctive graph dispatching this work proposes a deep reinforcement learning (DRL) framework that combines the advantages of real-time response flexibility of a deep convolutional neural network (CNN) reinforcement learning (RL) learns . . .
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