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 ...

This course introduces students to object oriented programming with Java(TM). Basic concepts are introduced early, with a strong focus on classes. Additional topics include event driven (Windows) ...

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 ...

In addition to other methods we’ve discussed, a third type of variable spending model uses dynamic programming methods. These methods rely on complex computing power and mathematical equations to ...

Dynamic documents can transform how organizations create, share and deliver information. Jake Sorofman, senior VP of marketing and business development for JustSystems, talks about the emergence of ...

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 ...