Cite
An improved deep reinforcement learning approach: A case study for optimisation of berth and yard scheduling for bulk cargo terminal.
MLA
Ai, T., et al. “An Improved Deep Reinforcement Learning Approach: A Case Study for Optimisation of Berth and Yard Scheduling for Bulk Cargo Terminal.” Advances in Production Engineering & Management, vol. 18, no. 3, Sept. 2023, pp. 303–16. EBSCOhost, https://doi.org/10.14743/apem2023.3.474.
APA
Ai, T., Huang, L., Song, R. J., Huang, H. F., Jiao, F., & Ma, W. G. (2023). An improved deep reinforcement learning approach: A case study for optimisation of berth and yard scheduling for bulk cargo terminal. Advances in Production Engineering & Management, 18(3), 303–316. https://doi.org/10.14743/apem2023.3.474
Chicago
Ai, T., L. Huang, R. J. Song, H. F. Huang, F. Jiao, and W. G. Ma. 2023. “An Improved Deep Reinforcement Learning Approach: A Case Study for Optimisation of Berth and Yard Scheduling for Bulk Cargo Terminal.” Advances in Production Engineering & Management 18 (3): 303–16. doi:10.14743/apem2023.3.474.