The field of optimization is confronting escalating challenges amid the growing scale, complexity, and dynamic nature of ...

Dynamic optimization and optimal control problems form the backbone of numerous applications in engineering, economics and the natural sciences. These methodologies involve determining a time-varying ...

The background for this paper is a dynamic programming model with a Borel state space and compact action sets. A new simple proof of the compactness of a space of measures corresponding to randomized ...

https://doi.org/10.2307/1243989 • https://www.jstor.org/stable/1243989 Copy URL A dynamic programming model that allocates irrigations among competing crops, while ...

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 ...