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 ...

Management Science, Vol. 31, No. 4 (Apr., 1985), pp. 422-434 (13 pages) A model for measuring the economic benefits of irrigation system development over a depleting aquifer is presented, along with ...