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Dynamic Multi-Depot Vehicle Routing with Online Requests: Event-Driven Transformer--DRL and Rolling-Horizon Benchmarking
A new arXiv preprint introduces an event-driven Transformer–DRL framework for dynamic multi-depot vehicle routing with online requests, benchmarking it against classical heuristics and rolling-horizon optimization — finding no method dominates across all metrics and the strongest heuristic (nearest feasible) outperformed learned policies on key objectives.
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"New Transformer-DRL method solves dynamic vehicle routing with millisecond decisions and zero-shot scaling — outperforming heuristics in some settings."
arXiv Machine Learning
Aug 17, 2026