We design a numerical scheme for solving a Dynamic Programming equation with Malliavin weights arising from the time-discretization of backward stochastic differential equations with the integration ...

Jason Southerland, Andrew Loerch, Using Approximate Dynamic Programming to Model Military Force Mix Adaptation, Military Operations Research, Vol. 23, No. 4 (2018), pp. 25-36 ...

Want to understand how neural networks actually learn? This video breaks down forward and backward propagation in a simple, visual way—perfect for beginners and aspiring AI engineers! # ...