In order to improve the immensely complex and time-consuming process of manually scheduling aircraft flights, this project aims at automating aircraft flight scheduling to improve scheduling efficiency and robustness in the presence of uncertainty. This will optimize training flight schedules while providing explainability and removing silos in decision-making. This technology enables schedulers to quickly and effectively re-build schedules in the presence of rapidly changing circumstances, vastly accelerating planning and decision cycles. While initially focused on aircraft flight scheduling, this technology applies to all complex resource-allocation tasks across many sectors.