AOL

Wake-up call: Landmark social media ruling exposes addictive algorithms as teen survey ...

A Colorado teenager is sounding the alarm on social media’s impact on young girls after surveying more than 1,000 peers nationwide and finding strong links between platform use and rising rates of ...
Phys.org

Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...
GitHub

RoboDRL: Deep Reinforcement Learning for Continuous Control

This repository contains the source code and results for my thesis. The goal was to implement modern Deep RL algorithms (PPO, TD3, SAC) from scratch and compare them against established libraries like ...
IEEE

SC-DRL: A Status Correction-Empowered Deep Reinforcement Learning Algorithm for Dependency ...

Abstract: Mobile edge computing (MEC) is emerging as a critical paradigm to meet the growing computational demands of wireless devices. However, edge servers, wireless devices, and service types in ...
acm.org

Specification-Guided Reinforcement Learning

In reinforcement learning (RL), an agent learns to achieve its goal by interacting with its environment and learning from feedback about its successes and failures. This feedback is typically encoded ...
Hacker

Building Product Pricing Using Reinforcement Learning Algorithms: The Realities Behind the ...

AI Product Leader at New York Life and ex-Amazon. I bring over a decade of experience in AI product management. AI Product Leader at New York Life and ex-Amazon. I bring over a decade of experience in ...
IEEE

A Multi-Agent Reinforcement Learning Based MAC Algorithm for FANETs

Abstract: With the growing applications of Flying Ad Hoc Networks (FANETs), medium access control (MAC) algorithms for FANETs have attracted significant attention globally. In this paper, we propose a ...
GitHub

Flash LiDAR Vehicle Detection with MATLAB Dataset and Deep Learning Benchmarks

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...
Microsoft

Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
Medscape

Machine Learning Algorithm Predicts Gout Flares Using RNA

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...
Frontiers

A combined approach to lithology identification using reinforcement learning and ...

Lithology identification plays a pivotal role in logging interpretation during drilling operations, directly influencing drilling decisions and efficiency. Conventional lithology identification ...