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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主要な著者:	Xiaoyong Gao, Yixu Yang, Diao Peng, Shanghe Li, Chaodong Tan, Feifei Li, Tao Chen
フォーマット:	Artigo
言語:	Inglês
出版事項:	Tsinghua University Press 2024-12-01
シリーズ:	Complex System Modeling and Simulation
主題:	graph pointer network hierarchical reinforcement learning curriculum learning shuttle tanker scheduling problem
オンライン･アクセス:	https://www.sciopen.com/article/10.23919/CSMS.2024.0017
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