IEEE

A Reinforcement Learning Algorithm for Safety Decision Making in Autonomous Driving Systems with Reward Machine Guidance

Abstract: In the field of autonomous driving, safe and efficient decision-making through deep reinforcement learning remains a significant challenge. Existing methods often struggle to adapt to the ...
IEEE

A random forest-based machine learning algorithm for predicting onion whole sale price

Abstract: The purpose of this study is to estimate and predict onion wholesale price volatility using statistical and machine learning algorithms. Traditional models like ARIMA and GARCH were compared ...
Ecommerce Fastlane

How Can an AI Recommendation System Increase Sales?

What if you could increase order value and repeat purchases without asking shoppers to do more work? An AI recommendation ...
Journal of Medical Internet Research

Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study

Objective: This study aimed to develop and evaluate a machine learning (ML)–based algorithm to predict whether an initial vancomycin dose falls within the therapeutic range of the 24-hour area under ...
The WalrusOpinion

Manitoba Moves Against Retailers Charging Different Prices for the Same Goods

And so it was interesting to see, weeks after her article for us on “algorithmic” or personalized pricing, the Manitoba ...
Hosted on MSN

Teacher’s student-run coffee cart builds community and kindness at Georgia elementary school

At Compton Elementary School in Powder Springs, one teacher is brewing up more than just coffee. Math teacher Caleb Garrett helped launch the Compton Coffee Café, a student-run coffee cart where fifth ...