GitHub

Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning

REC-R1 is a general framework that bridges generative large language models (LLMs) and recommendation systems via reinforcement learning. Check the paper here.
IEEE

Reinforcement Learning-Based Voting for Feature Drift-Aware Intrusion Detection: An Incremental Learning Framework

Abstract: In Intrusion Detection Systems (IDS), stream data classification faces significant challenges due to concept drifts and feature evolution, where traditional methods struggle to maintain ...

Kelly Clarkson surprises NYC program training teens to be reading tutors for younger students

Danielle Guindo, like Kelly Clarkson, is a teacher’s daughter. Both learned at a young age not only how inspiring the ...

Carlow, Promise Center launch literacy tutoring initiative in Homewood

Carlow University and the Promise Center of Homewood have launched a literacy tutoring initiative for children in Homewood by ...
IEEE

Reinforcement Learning-Assisted Memetic Algorithm for Sustainability-Oriented Multiobjective Distributed Flow Shop Group Scheduling

Abstract: Amid the global push for sustainable development, rising market demands have necessitated a multiregional, multiobjective, and flexible production model. Against this backdrop, this article ...