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 ...

Methods for planning capacity expansion typically have been restricted to problems with many locations in a static environment or a few locations in a dynamic environment. Two approaches are developed ...

This is a preview. Log in through your library . Abstract We study a deterministic maritime inventory routing problem with a long planning horizon. For instances with many ports and many vessels, ...

This course covers reinforcement learning aka dynamic programming, which is a modeling principle capturing dynamic environments and stochastic nature of events. The main goal is to learn dynamic ...

Dynamic programming algorithms are a good place to start understanding what's really going on inside computational biology software. The heart of many well-known programs is a dynamic programming ...