Regret Minimization Experience Replay in Off-Policy Reinforcement Learning. - Xu-Hui Liu; Zhenghai Xue; Jing-Cheng Pang; Shengyi Jiang; Feng Xu 007; Yang Yu 001 (NeurIPS, 2021)

Regret Minimization Experience Replay. - Zhenghai Xue; Xu-Hui Liu; Jing-Cheng Pang; Shengyi Jiang; Feng Xu 007; Yang Yu 001 (CoRR, 2021)

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning. - Quanyi Li; Zhenghao Peng; Zhenghai Xue; Qihang Zhang; Bolei Zhou (CoRR, 2021)

PrefRec: Preference-based Recommender Systems for Reinforcing Long-term User Engagement. - Wanqi Xue; Qingpeng Cai 001; Zhenghai Xue; Shuo Sun; Shuchang Liu 006; Dong Zheng; Peng Jiang 002; Bo An 001 (CoRR, 2022)

Guarded Policy Optimization with Imperfect Online Demonstrations. - Zhenghai Xue; Zhenghao Peng; Quanyi Li; Zhihan Liu; Bolei Zhou (ICLR, 2023)

PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement. - Wanqi Xue; Qingpeng Cai 001; Zhenghai Xue; Shuo Sun; Shuchang Liu 006; Dong Zheng; Peng Jiang 002; Kun Gai; Bo An 001 (KDD, 2023)

State Regularized Policy Optimization on Data with Dynamics Shift. - Zhenghai Xue; Qingpeng Cai 001; Shuchang Liu 006; Dong Zheng; Peng Jiang 002; Kun Gai; Bo An 001 (NeurIPS, 2023)

Two-Stage Constrained Actor-Critic for Short Video Recommendation. - Qingpeng Cai 001; Zhenghai Xue; Chi Zhang; Wanqi Xue; Shuchang Liu 006; Ruohan Zhan; Xueliang Wang; Tianyou Zuo; Wentao Xie 002; Dong Zheng; Peng Jiang 002; Kun Gai (WWW, 2023)

A Large Language Model Enhanced Conversational Recommender System. - Yue Feng; Shuchang Liu 006; Zhenghai Xue; Qingpeng Cai 001; Lantao Hu; Peng Jiang 002; Kun Gai; Fei Sun 001 (CoRR, 2023)

AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement. - Zhenghai Xue; Qingpeng Cai 001; Tianyou Zuo; Bin Yang 042; Lantao Hu; Peng Jiang 002; Kun Gai; Bo An 001 (CoRR, 2023)

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning. - Quanyi Li; Zhenghao Peng; Lan Feng; Qihang Zhang; Zhenghai Xue; Bolei Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. - Safa Messaoud; Billel Mokeddem; Zhenghai Xue; Linsey Pang; Bo An 001; Haipeng Chen 001; Sanjay Chawla (ICLR, 2024)

Modeling User Retention through Generative Flow Networks. - Ziru Liu; Shuchang Liu 006; Bin Yang 042; Zhenghai Xue; Qingpeng Cai 001; Xiangyu Zhao 001; Zijian Zhang 009; Lantao Hu; Han Li 005; Peng Jiang 002 (KDD, 2024)

S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. - Safa Messaoud; Billel Mokeddem; Zhenghai Xue; Linsey Pang; Bo An 001; Haipeng Chen 001; Sanjay Chawla (CoRR, 2024)

Prediction and mapping of soil thickness in alpine canyon regions based on whale optimization algorithm optimized random forest: A case study of Baihetan Reservoir area in China. - Zhenghai Xue; Xiaoyu Yi; Wenkai Feng; Linghao Kong; Mingtang Wu (Comput. Geosci., 2024)

Policy Optimization under Imperfect Human Interactions with Agent-Gated Shared Autonomy. - Zhenghai Xue; Bo An 001; Shuicheng Yan (ICLR, 2025)

AgentStudio: A Toolkit for Building General Virtual Agents. - Longtao Zheng; Zhiyuan Huang; Zhenghai Xue; Xinrun Wang; Bo An 001; Shuicheng Yan (ICLR, 2025)

AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems. - Zhenghai Xue; Qingpeng Cai 001; Bin Yang 042; Lantao Hu; Peng Jiang 002; Kun Gai; Bo An 001 (WWW, 2025)

Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning. - Zhenghai Xue; Lang Feng 002; Jiacheng Xu; Kang Kang; Xiang Wen; Bo An 001; Shuicheng Yan (CoRR, 2025)

Group-in-Group Policy Optimization for LLM Agent Training. - Lang Feng 002; Zhenghai Xue; Tingcong Liu; Bo An 001 (CoRR, 2025)