Using reinforcement learning to train AI that discover robust train paths in rail networks. By adjusting runtimes and dwell time buffers, these agents help optimize timetable stability and efficiency. The approach aims to balance punctuality with resilience against minor disruptions.
Speaker: Umar Aslam – Sweco
