RL-AirSched: Synthetic Airport Slot Rescheduling Experimental Datasets
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This dataset contains synthetic airport slot-rescheduling scenarios used for the experimental evaluation of RL-AirSched, a feasibility-aware reinforcement learning framework for dynamic airport slot rescheduling. Three scheduling environments of increasing scale are provided (S, M, and L), together with the corresponding feasible candidate flight-slot assignment sets generated under the operational constraints described in the associated manuscript.
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Zenodo创建时间：
2026-08-11
