Like physical internet search engines, can we integrate destination recommendation with on-demand mobility service (e.g. call an Uber, and let it recommend a restaurant to you and deliver you there)? Reinforcement learning algorithms in this context can be inefficient due to the added context from the routing service, but we identify more amenable conditions for operating such a feature, which might help seniors with less real-time information access, or post-COVID with more uncertainty on destination information. This work funded by C2SMART and NSF and should be of interest to TNCs or microtransit services.

The full paper is available here.