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Is reinforcement learning suitable for this problem or will it perform poorly against classical algorithms?

"The Dial-a-Ride Problem (DARP) consists of designing vehicle routes and schedules for n users who specify pickup and delivery requests between origins and destinations. The aim is to plan a set of m minimum cost vehicle routes capable of accommodating as many users as possible, under a set of constraints."

Source: https://link.springer.com/article/10.1007/s10479-007-0170-8

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Maybe a little different from your problem but this article engaged Reinforcement Learning to improve the level-of-service (LOS) for a shared-taxi system.

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