— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
This work proposes a simple approximation scheme for discrete data that leads to an infinitely smooth result without global optimization. It combines the flexibility of Binary Sp...
Marcos Lage, Alex Laier Bordignon, Fabiano Petrone...
— We propose an Efficient Reliable Data Collection (eRDC) algorithm. The eRDC is designed for energy-constraint wireless sensor networks (WSN) to balance reliability and energy c...
Ren Ping Liu, John Zic, Iain B. Collings, Alex Y. ...
Differential games (DGs), considered as a typical model of game with continuous states and non-linear dynamics, play an important role in control and optimization. Finding optimal...
In this paper, the case of a cardboard box marketing firm is studied and a (R,s,Q,c) inventory replenishment policy is proposed and evaluated by means of discrete event simulation...
Carlos B. Ramirez Cerda, Armando J. Espinosa de lo...