Abstract: Many practical problems can be solved by being formulated as time-varying quadratic programing (TVQP) problems. In this paper, a novel power-type varying-parameter recurrent neural network ...
Abstract: Inspired by k-nearest-neighbor (KNN) algorithms, a new network topology called double-actor-critic network (DACN) is firstly designed to solve mixed integer programing (MIP) problems in ...
If you have challenges with recursive method of solving Dynamic Programming challanges, the tabulation method provides an easier alternative, and for Python Programming, Iterative methods are usually ...
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