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 ...

In the course of their work statisticians are frequently called on to make the acquaintance of, and possible to use, techniques from other fields, such as operational research. One such technique is ...

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 ...

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 ...

Microsoft has unveiled a new Dynamic Language Runtime (DLR) layer for the .NET development platform. Designed to simplify the process of bringing support for additional dynamic languages to .NET, the ...