Abstract: Deep reinforcement learning (DRL) has emerged as a promising approach for the train trajectory optimization (TTO) problem in real-world high-speed rail (HSR) systems. However, there remain ...

Abstract: Autonomous racing requires fast, anticipatory, and interaction-aware trajectory planning, where the ego vehicle must interpret complex track geometries while reasoning about the future ...