APA (7th ed.) Citation

Khadivi, M., Charter, T., Yaghoubi, M., Jalayer, M., Ahang, M., Shojaeinasab, A., & Najjaran, H. (2025). Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions. Computers & industrial engineering, 200, 110856. https://doi.org/10.1016/j.cie.2025.110856

Chicago Style (17th ed.) Citation

Khadivi, Maziyar, Todd Charter, Marjan Yaghoubi, Masoud Jalayer, Maryam Ahang, Ardeshir Shojaeinasab, and Homayoun Najjaran. "Deep Reinforcement Learning for Machine Scheduling: Methodology, the State-of-the-art, and Future Directions." Computers & Industrial Engineering 200 (2025): 110856. https://doi.org/10.1016/j.cie.2025.110856.

MLA (9th ed.) Citation

Khadivi, Maziyar, et al. "Deep Reinforcement Learning for Machine Scheduling: Methodology, the State-of-the-art, and Future Directions." Computers & Industrial Engineering, vol. 200, 2025, p. 110856, https://doi.org/10.1016/j.cie.2025.110856.