S. Moridpour

A reproducible Deep Reinforcement Learning baseline for tourist bus route planning: a case study in Ha Noi

Planning itineraries for urban tourist buses involves a critical trade-off between maximising attraction coverage and strictly adhering to operational constraints. While recent literature has introduced highly complex optimisation models, there remains a notable lack of a transparent, reproducible baseline tailored spe...