Graph Pointer Network Based Hierarchical Curriculum Reinforcement Learning Method Solving Shuttle Tankers Scheduling Problem

Shuttle tankers scheduling is an important task in offshore oil and gas transportation process, which involves operating time window fulfillment, optimal transportation planning, and proper inventory management. However, conventional approaches like Mixed Integer Linear Programming (MILP) or meta he...

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Autors principals:	Xiaoyong Gao, Yixu Yang, Diao Peng, Shanghe Li, Chaodong Tan, Feifei Li, Tao Chen
Format:	Artigo
Idioma:	Inglês
Publicat:	Tsinghua University Press 2024-12-01
Col·lecció:	Complex System Modeling and Simulation
Matèries:	graph pointer network hierarchical reinforcement learning curriculum learning shuttle tanker scheduling problem
Accés en línia:	https://www.sciopen.com/article/10.23919/CSMS.2024.0017
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