RL4RLA utilizes a "numerical curriculum of increasing difficulty + Monte Carlo Graph Search (MCGS)" to drive an RL agent to compose interpretable Randomized Numerical Linear Algebra (RLA) algorithms ...

This project implements clustering algorithms from scratch using Python and NumPy. It was developed as a Linear Algebra for Computer Science project and focuses on applying core linear algebra ...

These are my go-to libraries for Python data crunching.

Defining security in quantum key distribution with Carla Ferradini, Martin Sandfuchs, and Renato Renner The security of quantum key distribution (QKD) is quantified by a parameter ε >0, which—under ...

The course gives an overview over important models and techniques for regression analysis outside standard linear regression. In particular, the students will learn how to extend the linear model for ...

Supporters see tests such as the SAT as objective measures of academic preparation, allowing comparison among students no matter how varied their actual schooling. Tests can help identify the ...

The action potentials are generated in a way that frequently approximates a Poisson process, in which the spikes for a given mean firing rate occur at times that are essentially random (apart from a ...

Get ready to meet your new peanut butter obsession because these 21 treats are dangerously delicious. Seriously, if you have no self-control, you might want ... Read more The post 21 peanut butter ...

Abstract: In this work, we propose two lightweight access point (AP) localization and selection schemes, AP-Cov and improved AP-Cov (IAP-Cov), in IEEE 802.11-enabled IoT networks for reducing handover ...

What began with a focus on weather forecasting has evolved toward addressing errors in scientific modeling. In the collaborative environment of the Penn State Institute for Computational and Data ...