An improved deep reinforcement learning approach: A case study for optimisation of berth and yard scheduling for bulk cargo terminal

Research article (Advances in Production Engineering & Management, 2023) · cited 15× · AI/ML
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An improved deep reinforcement learning approach: A case study for optimisation of berth and yard scheduling for bulk cargo terminal

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An improved deep reinforcement learning approach: A case study for optimisation of berth and yard scheduling for bulk cargo terminal is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An improved deep reinforcement learning approach: A case study for optimisation of berth and yard scheduling for bulk cargo terminal. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-improved-deep-reinforcement-learning-approach-a-case-study-for-optimisation-of-berth-and-yard-scheduling-for-bulk-car
MLA “An improved deep reinforcement learning approach: A case study for optimisation of berth and yard scheduling for bulk cargo terminal.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-improved-deep-reinforcement-learning-approach-a-case-study-for-optimisation-of-berth-and-yard-scheduling-for-bulk-car.
BibTeX @misc{4ortxyz_an-improved-deep-reinforcement-learning-approach-a-case-study-for-optimisation-of-berth-and-yard-scheduling-for-bulk-car_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An improved deep reinforcement learning approach: A case study for optimisation of berth and yard scheduling for bulk cargo terminal}}, year = {2026}, url = {https://4ort.xyz/entity/an-improved-deep-reinforcement-learning-approach-a-case-study-for-optimisation-of-berth-and-yard-scheduling-for-bulk-car}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An improved deep reinforcement learning approach: A case study for optimisation of berth and yard scheduling for bulk cargo terminal — https://4ort.xyz/entity/an-improved-deep-reinforcement-learning-approach-a-case-study-for-optimisation-of-berth-and-yard-scheduling-for-bulk-car (retrieved 2026-05-24)

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