Reinforcement learning for strategic airport slot scheduling: analysis of state observations and reward designs

• Main Authors: Nguyen-Duy, Anh, Pham, Duc-Thinh, Lye, Jian-Yi, Ta, Duong
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2025
• Subjects: Computer and Information Science; Other; Reinforcement learning; Airport slot scheduling; Strategic
• Online Access: https://hdl.handle.net/10356/182321
• Institution: Nanyang Technological University

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...