2020 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 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 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}, } 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 NA^2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning Zichuan Liu, Yuanyang Zhu, and Chunlin Chen arXiv preprint arXiv:2304.13383, 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 = {arXiv preprint arXiv:2304.13383}, year = {2023}, dimensions = {true}, } 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}, } BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization European Conference on Artificial Intelligence (ECAI), 2023 Bib HTML @article{wang2023BiERL, title = {BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization}, author = {}, journal = {European Conference on Artificial Intelligence (ECAI)}, year = {2023}, }