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Deep Reinforcement Learning for Machine Scheduling: Methodology, the State-of-The-Art, and Future Directions

Maziyar Khadivi, Todd Charter, Marjan Yaghoubi, Masoud Jalayer, Maryam Ahang, Ardeshir Shojaeinasab, Homayoun Najjaran

Year: 2023
Citations: 15

Keywords

Reinforcement learningComputer scienceArtificial intelligenceScheduling (production processes)Machine learningOperations researchEngineeringOperations management

Deep Reinforcement Learning for Machine Scheduling: Methodology, the State-of-The-Art, and Future Directions

Keywords

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