Predicting the citation counts of individual papers via a BP neural network X Ruan, Y Zhu, J Li, Y Cheng Journal of Informetrics 14 (3), 101039, 2020 | 104 | 2020 |
Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction Y Zhu, Z Wang, C Chen, D Dong IEEE/ASME Transactions on Mechatronics, 2021 | 30 | 2021 |
Extracting Decision Tree From Trained Deep Reinforcement Learning in Traffic Signal Control Y Zhu, X Yin, C Chen IEEE Transactions on Computational Social Systems 10 (4), 1997 - 2007, 2022 | 5 | 2022 |
N Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning Z Liu, Y Zhu, C Chen International Conference on Machine Learning 202, 22539-22558, 2023 | 4 | 2023 |
MIXRTs: Toward interpretable multi-agent reinforcement learning via mixing recurrent soft decision trees Z Liu, Y Zhu, Z Wang, Y Gao, C Chen arXiv preprint arXiv:2209.07225, 2022 | 3 | 2022 |
Bierl: A meta evolutionary reinforcement learning framework via bilevel optimization J Wang, Y Zhu, Z Wang, Y Zheng, J Hao, C Chen arXiv preprint arXiv:2308.01207, 2023 | 1 | 2023 |
Boosting Value Decomposition via Unit-Wise Attentive State Representation for Cooperative Multi-Agent Reinforcement Learning Q Zhao, Y Zhu, Z Liu, Z Wang, C Chen arXiv preprint arXiv:2305.07182, 2023 | 1 | 2023 |