| A General Scenario-Agnostic Reinforcement Learning for Traffic Signal Control H Jiang, Z Li, Z Li, L Bai, H Mao, W Ketter, R Zhao IEEE Transactions on Intelligent Transportation Systems, 2024 | 7 | 2024 |
| DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge J Lu, J Ruan, H Jiang, Z Li, H Mao, R Zhao Proceedings of the 23rd International Conference on Autonomous Agents and …, 2024 | 6 | 2024 |
| X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner H Jiang, Z Li, H Wei, X Xiong, J Ruan, J Lu, H Mao, R Zhao arXiv preprint arXiv:2404.12090, 2024 | 6 | 2024 |
| Coslight: Co-optimizing collaborator selection and decision-making to enhance traffic signal control J Ruan, Z Li, H Wei, H Jiang, J Lu, X Xiong, H Mao, R Zhao Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 4 | 2024 |
| GuideLight:" Industrial Solution" Guidance for More Practical Traffic Signal Control Agents H Jiang, X Xiong, Z Li, H Mao, G Sui, J Ruan, Y Cheng, H Wei, W Ketter, ... arXiv preprint arXiv:2407.10811, 2024 | 1 | 2024 |
Ziyue LIUniversity of Cologne, Germany在 wiso.uni-koeln.de 的电子邮件经过验证
Ziyue LIUniversity of Cologne, Germany在 wiso.uni-koeln.de 的电子邮件经过验证
Hangyu Mao（毛航宇）Peking University在 pku.edu.cn 的电子邮件经过验证
Rui ZhaoSenseTime Group Limited在 sensetime.com 的电子邮件经过验证