Research on Personalized Art Learning Path Recommendation Algorithm Based on Reinforcement Learning
This paper proposes a personalized art learning path recommendation algorithm named Art-DQN, which integrates graph attention networks and improved deep Q networks and provides an effective solution that combines structural constraints and personalized adaptation for intelligent recommendation in art education.