A hyperbolic model for the diffusion of proteins through the blood-cerebrospinal fluid (CSF) barrier revolutionized clinical neurochemistry thirty years ago. The regression curves were informally ...

John Kilhefner is a writer and editor at the intersection of digital media, finpub, GenAI, gaming and cybersecurity. John Kilhefner is a writer and editor at the intersection of digital media, finpub, ...

Abstract: In this paper, we consider the risk-sensitive cost criterion with exponentiated costs for Markov decision processes and develop a model-free policy gradient algorithm in this setting. Unlike ...

ABSTRACT: The alternating direction method of multipliers (ADMM) and its symmetric version are efficient for minimizing two-block separable problems with linear constraints. However, both ADMM and ...

This repository contains an implementation of distributed matching algorithms for IoT-based resource allocation. The project simulates a complex environment of users, access points, and cloudlets to ...

As the social media platform Bluesky continues to experience a boom of growth, NBC News' Joe Fryer speaks to the company's CEO, Jay Graber, about why the app has been so successful. Live updates: ...

Julio is a Senior Author for Collider. Despite having studied History and International Relations at university, he found his calling in cultural journalism. When he is not writing, Julio teaches ...

Add a description, image, and links to the barycentric-rational-function-approximation topic page so that developers can more easily learn about it.

Actor-critic (AC) methods are widely used in reinforcement learning (RL) and benefit from the flexibility of using any policy gradient method as the actor and value-based method as the critic. The ...