3 papers
cs.LG2026
Model-Free Inference of Investor Preferences: A Relative Entropy IRL Approach
Chen Xu
We present a framework using Relative Entropy Inverse Reinforcement Learning (RE-IRL) to recover investor reward functions from observed investment actions and market conditions. U…
cs.IR2026
Enhancing Long-Term Welfare in Recommender Systems: An Information Revelation Approach
Xu Zhao, Xiaopeng Ye, Chen Xu +2
Improving the long-term user welfare (e.g., sustained user engagement) has become a central objective of recommender systems (RS). In real-world platforms, the creation behaviors o…
cs.IR2025
CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry
Xiaopeng Ye, Chen Xu, Zhongxiang Sun +4
Ensuring the long-term sustainability of recommender systems (RS) emerges as a crucial issue. Traditional offline evaluation methods for RS typically focus on immediate user feedba…