Dynamic stochastic matching problems arise in a variety of recent applications, ranging from ridesharing and online video games to kidney exchange. Such problems are naturally formulated as Markov ...
This is a preview. Log in through your library . Abstract In probabilistic linear programming models the decision maker is typically assumed to know the probability distribution of the random ...
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