Menghui Zhu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Exploration Exploitation Tradeoff

Temporal Abstractions

Reinforcement Learning

Top Venues

WWW (Companion Volume)

Publications

Huanshuo Liu, Bo Chen, Menghui Zhu, Jianghao Lin, Jiarui Qin, Yang Yang, Hao Zhang, Ruiming Tang
Retrieval-Oriented Knowledge for Click-Through Rate Prediction. CoRR (2024)
Kounianhua Du, Jizheng Chen, Jianghao Lin, Menghui Zhu, Bo Chen, Shuai Li, Ruiming Tang
Extracting Essential and Disentangled Knowledge for Recommendation Enhancement. CoRR (2024)
Yifan Liu, Wei Xia, Weiwen Liu, Menghui Zhu, Weinan Zhang, Ruiming Tang, Yong Yu
HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning. WWW (Companion Volume) (2024)
Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation. AAAI (2023)
Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation. CoRR (2023)
Menghui Zhu, Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang, Weinan Zhang
Integrated Ranking for News Feed with Reinforcement Learning. WWW (Companion Volume) (2023)
Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang
Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation. CoRR (2023)
Minghuan Liu, Zhengbang Zhu, Menghui Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents. CoRR (2022)
Weijun Hong, Menghui Zhu, Minghuan Liu, Weinan Zhang, Ming Zhou, Yong Yu, Peng Sun
Generative Adversarial Exploration for Reinforcement Learning. CoRR (2022)
Minghuan Liu, Menghui Zhu, Weinan Zhang
Goal-Conditioned Reinforcement Learning: Problems and Solutions. CoRR (2022)
Minghuan Liu, Menghui Zhu, Weinan Zhang
Goal-Conditioned Reinforcement Learning: Problems and Solutions. IJCAI (2022)
Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. IJCAI (2021)
Sheng Chen, Menghui Zhu, Deheng Ye, Weinan Zhang, Qiang Fu, Wei Yang
Which Heroes to Pick? Learning to Draft in MOBA Games With Neural Networks and Tree Search. IEEE Trans. Games 13 (4) (2021)
Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. CoRR (2021)
Sheng Chen, Menghui Zhu, Deheng Ye, Weinan Zhang, Qiang Fu, Wei Yang
Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search. CoRR (2020)
Weijun Hong, Menghui Zhu, Minghuan Liu, Weinan Zhang, Ming Zhou, Yong Yu, Peng Sun
Generative adversarial exploration for reinforcement learning. DAI (2019)