Dynamic programming algorithms are developed for optimal capital allocation subject to budget constraints. We extend the work of Weingartner [17] and Weingartner and Ness [19] by including multilevel ...

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 ...

Military Operations Research, Vol. 23, No. 4 (2018), pp. 25-36 (12 pages) Balakrishna, Poornima. 2009. Scalable Approximate Dynamic Programming Models with Applications in Air Transportation. PhD ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...