RL4RS: A Real-World Benchmark for Reinforcement Learning based Recommender System. - Kai Wang 064; Zhene Zou; Qilin Deng; Yue Shang; Minghao Zhao 002; Runze Wu 001; Xudong Shen; Tangjie Lyu; Changjie Fan (CoRR, 2021)

RL4RS Dataset. - Kai Wang 064; Zhene Zou; Yue Shang; Qilin Deng; Minghao Zhao 002; Yile Liang; Runze Wu 001; Xudong Shen; Jianrong Tao; Tangjie Lyu; Changjie Fan (Zenodo, 2022)

A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games. - Yu Xiong; Runze Wu 001; Shiwei Zhao; Jianrong Tao; Xudong Shen; Tangjie Lyu; Changjie Fan; Peng Cui 001 (KDD, 2023)

RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System. - Kai Wang 064; Zhene Zou; Minghao Zhao 002; Qilin Deng; Yue Shang; Yile Liang; Runze Wu 001; Xudong Shen; Tangjie Lyu; Changjie Fan (SIGIR, 2023)

Explainable AI for Cheating Detection and Churn Prediction in Online Games. - Jianrong Tao; Yu Xiong; Shiwei Zhao; Runze Wu 001; Xudong Shen; Tangjie Lyu; Changjie Fan; Zhipeng Hu; Sha Zhao; Gang Pan 001 (IEEE Trans. Games, 2023)

XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques. - Yu Xiong; Zhipeng Hu; Ye Huang; Runze Wu 001; Kai Guan; Xingchen Fang; Ji Jiang; Tianze Zhou; Yujing Hu; Haoyu Liu; Tangjie Lyu; Changjie Fan (KDD, 2024)

Promoting human-AI interaction makes a better adoption of deep reinforcement learning: a real-world application in game industry. - Zhipeng Hu; Haoyu Liu; Yu Xiong; Lizi Wang; Runze Wu 001; Kai Guan; Yujing Hu; Tangjie Lyu; Changjie Fan (Multim. Tools Appl., 2024)

Digital Player: Evaluating Large Language Models based Human-like Agent in Games. - Jiawei Wang; Kai Wang 064; Shaojie Lin; Runze Wu 001; Bihan Xu; Lingeng Jiang; Shiwei Zhao; Renyu Zhu; Haoyu Liu; Zhipeng Hu; Zhong Fan; Le Li; et al. (CoRR, 2025)