Castle Labs – ComputAtional STochastic optimization and LEarning
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Clearing the Jungle of Stochastic Optimization A tutorial on a unified framework for optimization under uncertainty will be given at the Informs annual meeting in Nashville on Monday, Nov 11, 2016 (4:...
Specializes in research for dynamic resource management using approximate dynamic programming. Applications include transportation and logistics, freight transportation, energy and finance, as well a...
PLASMA Winner, Best paper prize, Society for Transportation Science and Logistics, 2015 PLASMA is a planning system developed at CASTLE Laboratory at Princeton University for locomotive planning and m...
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