An Enhanced-State Reinforcement Learning Algorithm for Optimizing Multi-Task Fusion in Large-Scale Recommender Systems

An enhanced-state reinforcement learning algorithm that leverages user features, item features, and other valuable information to generate personalized fusion weights for each user-item pair, outperforming existing RL-based multi-task fusion methods in large-scale recommender systems.