Deep RL advances vehicle routing with new benchmarks and case studies

Three arXiv papers apply deep reinforcement learning to vehicle routing problems. One introduces an event-driven Transformer-DRL framework for dynamic multi-depot routing with online requests, another tackles pickup-delivery with time windows and capacity constraints, and a third presents an industry case study on truck planning.