Abstract: Policy optimization (PO), an essential approach of reinforcement learning for a broad range of system classes, requires significantly more system data than indirect ...
This repository contains MATLAB codes for solving Linear Quadratic Regulator (LQR) problems using model-free Reinforcement Learning (RL) techniques. It includes methods such as Policy Iteration, Value ...
Tipping points in our climate predictions are both wildly dramatic and wildly uncertain. Can mathematicians make them useful?
The Wireless Research Center at the American University in Cairo has been contributing to advancing QC applications, ...
Abstract: This letter synthesizes a gain-scheduled controller to stabilize all possible Linear Parameter-Varying (LPV) plants that are consistent with measured input/state data records. Inspired by ...
Smile, suspects. You're on camera: Ring doorbell security systems helping Region police solve crimes
A woman and her teenage son lay dead inside a home in Gary's Miller section, but video from her Ring doorbell security system revealed the faces of two possible suspects. Within hours, police knew the ...
In his decades-long career in tech journalism, Dennis has written about nearly every type of hardware and software. He was a founding editor of Ziff Davis’ Computer Select in the 1990s, senior ...
Sparse methods are primarily valuable for systems in which the number of non-zero entries is substantially less than the overall size of the matrix. Such situations are common in physical systems, ...
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