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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: 2025
Citations: 30

Keywords

Reinforcement learningScheduling (production processes)Computer scienceArtificial intelligenceReinforcementIndustrial engineeringMachine learningOperations researchEngineeringOperations management

Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions

Keywords

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