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 ...

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 ...

Inspired by their win at Brandeis University’s DeisHack, Marco Qin ’24 and Mahmoud Salah ’24 have taken their coding talents to some of the most competitive college Hackathon events in the country.

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 ...

Code for Asheville is taking civic coding to a new level, laying out a novel approach for cities to consider as they seek to spark citizen engagement in the technology enterprise. Founded in 2012, the ...