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.

The Mentor Relationship: When You Turn To AI For Wisdom

Explore the Mentor relationship between humans and AI and how positioning AI as a guide and teacher is democratizing access ...
The Oberlin Review

Department of Psychology Employs AI Tutors

As the Year of AI Exploration enters its second semester, faculty and staff across all departments have been determining if and how to incorporate artificial intelligence into their instruction. In ...
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 ...
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 ...