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Estimating causal effects with optimization-based methods: A review and empirical comparison

In the absence of randomized controlled and natural experiments, it is necessary to balance the treated and control groups in order to estimate an unbiased causal effect of interest; otherwise, an opposite effect may be estimated, and incorrect …

Dynamic ridehailing with electric vehicles

We consider the problem of an operator controlling a fleet of electric vehicles for use in a ridehailing service. The operator, seeking to maximize profit, must assign vehicles to requests as they arise as well as recharge and reposition vehicles in …

Atari-fying the vehicle routing problem with stochastic service requests

We present a new general approach to modeling research problems as Atari-like videogames to make them amenable to recent groundbreaking solution methods from the deep reinforcement learning community. The approach is flexible, applicable to a wide …