Litcius/Paper detail

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

2025Computers & Industrial Engineering32 citationsDOI

Topics & Concepts

Reinforcement learningScheduling (production processes)Computer scienceArtificial intelligenceReinforcementIndustrial engineeringMachine learningOperations researchEngineeringOperations managementStructural engineeringScheduling and Optimization AlgorithmsReinforcement Learning in RoboticsOptimization and Search Problems