1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.IR2026★ 1 cited
LLM-Enhanced Reinforcement Learning for Long-Term User Satisfaction in Interactive Recommendation
Chongjun Xia, Yanchun Peng, Xianzhi Wang
Interactive recommender systems can dynamically adapt to user feedback, but often suffer from content homogeneity and filter bubble effects due to overfitting short-term user prefe…
cs.LG2021
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems
Siyu Wang, Yuanjiang Cao, Xiaocong Chen +3
Adversarial attacks, e.g., adversarial perturbations of the input and adversarial samples, pose significant challenges to machine learning and deep learning techniques, including i…