Zhenghai Xue

According to our database, Zhenghai Xue authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

S²AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic.

Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla

CoRR, 2024

AgentStudio: A Toolkit for Building General Virtual Agents.

Longtao Zheng, Zhiyuan Huang, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng Yan

CoRR, 2024

Modeling User Retention through Generative Flow Networks.

Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic.

Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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., March, 2023

AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement.

Zhenghai Xue, Qingpeng Cai, Tianyou Zuo, Bin Yang, Lantao Hu, Peng Jiang, Kun Gai, Bo An

CoRR, 2023

A Large Language Model Enhanced Conversational Recommender System.

Yue Feng, Shuchang Liu, Zhenghai Xue, Qingpeng Cai, Lantao Hu, Peng Jiang, Kun Gai, Fei Sun

CoRR, 2023

Two-Stage Constrained Actor-Critic for Short Video Recommendation.

Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai

Proceedings of the ACM Web Conference 2023, 2023

State Regularized Policy Optimization on Data with Dynamics Shift.

Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement.

Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Guarded Policy Optimization with Imperfect Online Demonstrations.

Zhenghai Xue, Zhenghao Peng, Quanyi Li, Zhihan Liu, Bolei Zhou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

PrefRec: Preference-based Recommender Systems for Reinforcing Long-term User Engagement.

Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Bo An

CoRR, 2022

2021

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning.

Quanyi Li, Zhenghao Peng, Zhenghai Xue, Qihang Zhang, Bolei Zhou

CoRR, 2021

Regret Minimization Experience Replay.

Zhenghai Xue, Xu-Hui Liu, Jing-Cheng Pang, Shengyi Jiang, Feng Xu, Yang Yu

CoRR, 2021

Regret Minimization Experience Replay in Off-Policy Reinforcement Learning.

Xu-Hui Liu, Zhenghai Xue, Jing-Cheng Pang, Shengyi Jiang, Feng Xu, Yang Yu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021