Reinforcement learning for strategic airport slot scheduling: Analysis of state observations and reward designs
Due to the NP-hard nature, the strategic airport slot scheduling problem is calling for exploring sub-optimal approaches, such as heuristics and learning-based approaches. Moreover, the continuous increase in air traffic demand requires approaches that can work well in new scenarios. While heuristic...
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Main Authors: | Nguyen-Duy, Anh, Pham, Duc-Thinh, Lye, Jian-Yi, TA, Nguyen Binh Duong |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2024
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Online Access: | https://ink.library.smu.edu.sg/sis_research/9268 https://ink.library.smu.edu.sg/context/sis_research/article/10268/viewcontent/RL_AirportSlot_CAI_2024_av.pdf |
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Institution: | Singapore Management University |
Language: | English |
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