Publications

2020

1. 

   Predicting the citation counts of individual papers via a BP neural network

   Xuanmin Ruan, Yuanyang Zhu, Jiang Li, and 1 more author

   Journal of Informetrics, 2020

   Bib HTML

   @article{ruan2020predicting,
     title = {Predicting the citation counts of individual papers via a BP neural network},
     author = {Ruan, Xuanmin and Zhu, Yuanyang and Li, Jiang and Cheng, Ying},
     journal = {Journal of Informetrics},
     volume = {14},
     number = {3},
     pages = {101039},
     year = {2020},
     publisher = {Elsevier},
     dimensions = {true},
   }

2021

1. 

   Rule-based reinforcement learning for efficient robot navigation with space reduction

   Yuanyang Zhu, Zhi Wang, Chunlin Chen, and 1 more author

   IEEE/ASME Transactions on Mechatronics, 2021

   Bib HTML

   @article{zhu2021rule,
     title = {Rule-based reinforcement learning for efficient robot navigation with space reduction},
     author = {Zhu, Yuanyang and Wang, Zhi and Chen, Chunlin and Dong, Daoyi},
     journal = {IEEE/ASME Transactions on Mechatronics},
     volume = {27},
     number = {2},
     pages = {846--857},
     year = {2021},
     publisher = {IEEE},
     dimensions = {true},
   }

2022

1. 

   MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees

   Zichuan Liu, Yuanyang Zhu, Zhi Wang, and 1 more author

   arXiv preprint arXiv:2209.07225, 2022

   Bib HTML

   @article{liu2022mixrts,
     title = {MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees},
     author = {Liu, Zichuan and Zhu, Yuanyang and Wang, Zhi and Chen, Chunlin},
     journal = {arXiv preprint arXiv:2209.07225},
     year = {2022},
     dimensions = {true},
   }

2. 

   Extracting Decision Tree From Trained Deep Reinforcement Learning in Traffic Signal Control

   Yuanyang Zhu, Xiao Yin, and Chunlin Chen

   IEEE Transactions on Computational Social Systems, 2022

   Bib HTML

   @article{zhu2022extracting,
     title = {Extracting Decision Tree From Trained Deep Reinforcement Learning in Traffic Signal Control},
     author = {Zhu, Yuanyang and Yin, Xiao and Chen, Chunlin},
     journal = {IEEE Transactions on Computational Social Systems},
     year = {2022},
     publisher = {IEEE},
   }

2023

1. 

   NA^2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning

   Zichuan Liu, Yuanyang Zhu, and Chunlin Chen

   International Conference on Machine Learning, 2023

   Bib HTML

   @article{liu2023n,
     title = {NA$^2$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning},
     author = {Liu, Zichuan and Zhu, Yuanyang and Chen, Chunlin},
     journal = {International Conference on Machine Learning},
     year = {2023},
     dimensions = {true},
   }

2. 

   Boosting Value Decomposition via Unit-Wise Attentive State Representation for Cooperative Multi-Agent Reinforcement Learning

   Qingpeng Zhao, Yuanyang Zhu, Zichuan Liu, and 2 more authors

   arXiv preprint arXiv:2305.07182, 2023

   Bib HTML

   @article{zhao2023boosting,
     title = {Boosting Value Decomposition via Unit-Wise Attentive State Representation for Cooperative Multi-Agent Reinforcement Learning},
     author = {Zhao, Qingpeng and Zhu, Yuanyang and Liu, Zichuan and Wang, Zhi and Chen, Chunlin},
     journal = {arXiv preprint arXiv:2305.07182},
     year = {2023},
   }

3. 

   BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization

   Junyi Wang, Yuanyang Zhu, Zhi Wang, and 3 more authors

   European Conference on Artificial Intelligence (ECAI), 2023

   Bib HTML

   @article{wang2023BiERL,
     title = {BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization},
     author = {Wang, Junyi and Zhu, Yuanyang and Wang, Zhi and Zheng, Yan and Hao, Jianye and Chen, Chunlin},
     journal = {European Conference on Artificial Intelligence (ECAI)},
     year = {2023},
   }

2024

1. 

   Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning

   Yuanyang Zhu, Zhi Wang, Yuanheng Zhu, and 2 more authors

   IEEE Transactions on on Neural Networks and Learning Systems, 2024

   Bib

   @article{zhu2024updrl,
     title = {Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning 	},
     author = {Zhu, Yuanyang and Wang, Zhi and Zhu, Yuanheng and Chen, Chunlin and Zhao, Dongbin},
     journal = {IEEE Transactions on on Neural Networks and Learning Systems},
     year = {2024},
     publisher = {IEEE},
     dimensions = {true},
   }