| Uncertainty quantification of collaborative detection for self-driving S Su, Y Li, S He, S Han, C Feng, C Ding, F Miao 2023 IEEE International Conference on Robotics and Automation (ICRA), 5588-5594, 2023 | 32 | 2023 |
| Robust Multi-Agent Reinforcement Learning with State Uncertainty S He, S Han, S Su, S Han, S Zou, F Miao Transactions on Machine Learning Research, 50, 2023 | 30 | 2023 |
| A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems S He, Y Wang, S Han, S Zou, F Miao 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 26* | 2023 |
| Data-driven distributionally robust electric vehicle balancing for autonomous mobility-on-demand systems under demand and supply uncertainties S He, Z Zhang, S Han, L Pepin, G Wang, D Zhang, JA Stankovic, F Miao IEEE Transactions on Intelligent Transportation Systems, 2023 | 24 | 2023 |
| What is the solution for state adversarial multi-agent reinforcement learning? S Han, S Su, S He, S Han, H Yang, F Miao the Frontiers4LCD Workshop at the International Conference on Machine Learning, 2022 | 22 | 2022 |
| Data-driven distributionally robust optimization for vehicle balancing of mobility-on-demand systems F Miao, S He, L Pepin, S Han, A Hendawi, ME Khalefa, JA Stankovic, ... ACM Transactions on Cyber-Physical Systems 5 (2), 1-27, 2021 | 22 | 2021 |
| Data-driven distributionally robust electric vehicle balancing for mobility-on-demand systems under demand and supply uncertainties S He, L Pepin, G Wang, D Zhang, F Miao 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 22 | 2020 |
| Robust electric vehicle balancing of autonomous mobility-on-demand system: A multi-agent reinforcement learning approach S He, S Han, F Miao 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 | 6 | 2023 |
| Invariant Graph Neural Network for Out-of-Distribution Nodes Z Chen, Y Gong, L Yang, J Zhang, W Zhang, S He, X Zhang Proceedings of the 2023 15th International Conference on Machine Learning …, 2023 | 3 | 2023 |
| A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems S He, Y Wang, S Han, S Zou, F Miao 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 2 | 2023 |
| Robustness Evaluation of Multi-Agent Reinforcement Learning Algorithms using GNAs X Zhang, W Zhang, Y Gong, L Yang, J Zhang, Z Chen, S He | 1 | 2023 |
| A Robust and Constrained Multi-Agent Reinforcement Learning Method for Electric Vehicle Rebalancing in AMoD Systems Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao International Conference on Learning Representations, the Agent-Based …, 2023 | 1* | 2023 |
| Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas C Deng, Y Duan, X Jin, H Chang, Y Tian, H Liu, HP Zou, Y Jin, Y Xiao, ... arXiv e-prints, arXiv: 2406.05392, 2024 | | 2024 |
| Are Large Language Models Chameleons? M Geng, S He, R Trotta arXiv preprint arXiv:2405.19323, 2024 | | 2024 |
| Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments H Wang, S He, Z Zhang, F Miao, J Anderson arXiv preprint arXiv:2405.19499, 2024 | | 2024 |
| Constrained Reinforcement Learning Under Model Mismatch Z Sun, S He, F Miao, S Zou arXiv preprint arXiv:2405.01327, 2024 | | 2024 |
| FairMove: A Data-Driven Vehicle Displacement System for Jointly Optimizing Profit Efficiency and Fairness of Electric For-Hire Vehicles G Wang, S He, L Jiang, S Wang, F Miao, F Zhang, Z Dong, D Zhang IEEE Transactions on Mobile Computing, 2023 | | 2023 |
| Robust Multi-Agent Reinforcement Learning Considering State Uncertainties Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao International Conference on Learning Representations, the Agent-Based …, 2023 | | 2023 |
Fei MiaoPratt & Whitney Associate Professor, Computer Science and Engineering, University of Connecticut在 uconn.edu 的电子邮件经过验证
