GRPO-RS: A Next-Gen Graph-based Reinforcement Learning Framework for Recommender Systems
Published:
Recommender systems (RS) have seen rapid evolution in recent years, especially with the rise of Graph Neural Networks (GNNs) and Reinforcement Learning (RL). However, most existing solutions still struggle with challenges such as data sparsity, cold start, and the long-tail effect. We introduce GRPO-RS—a novel architecture combining graph signal regularization and reinforcement learning for offline and scalable recommendation optimization.