Airport gate assignment problem with deep reinforcement learning

• 作 者: 赵家明 Wu Wenjun Liu Zhiming Han
• 机 构: FacultyofInformationTechnology,ITDepartment
• 出 处: 高技术通讯:英文版
• 发表日期: 2020年1期
• 关键词: AIRPORT gate ASSIGNMENT problem(AGAP) DEEP reinforcement learning(DRL) Markov de
• 基金项目: Supported by the National Natural Science Foundation of China(No.U1633115),the Science and Technology Foundation of Beijing Municipal Commission of Education(No.KM201810005027)

With the rapid development of air transportation in recent years,airport operations have attracted a lot of attention.Among them,airport gate assignment problem(AGAP)has become a research hotspot.However,the real-time AGAP algorithm is still an open issue