Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems

Zhaochun Ren, Na Huang, Yidan Wang +7

Learning reinforcement learning (RL)-based recommenders from historical user-item interaction sequences is vital to generate high-reward recommendations and improve long-term cumul…