| Proximal policy optimization with mixed distributed training Z Zhang, X Luo, T Liu, S Xie, J Wang, W Wang, Y Li, Y Peng 2019 IEEE 31st international conference on tools with artificial …, 2019 | 27 | 2019 |
| Unmanned surface vessel obstacle avoidance with prior knowledge‐based reward shaping W Wang, X Luo, Y Li, S Xie Concurrency and Computation: Practice and Experience 33 (9), e6110, 2021 | 17 | 2021 |
| Et-hf: A novel information sharing model to improve multi-agent cooperation S Xie, H Zhang, H Yu, Y Li, Z Zhang, X Luo Knowledge-Based Systems 257, 109916, 2022 | 10 | 2022 |
| USVs‐Sim: A general simulation platform for unmanned surface vessels autonomous learning W Wang, H Zhang, Y Li, Z Zhang, X Luo, S Xie Concurrency and Computation: Practice and Experience 34 (3), e6567, 2022 | 7 | 2022 |
| Learning adversarial policy in multiple scenes environment via multi-agent reinforcement learning Y Li, X Wang, W Wang, Z Zhang, J Wang, X Luo, S Xie Connection Science 33 (3), 407-426, 2021 | 7 | 2021 |
| Ocean image data augmentation in the USV virtual training scene W Wang, Y Li, X Luo, S Xie Big Earth Data 4 (4), 451-463, 2020 | 7 | 2020 |
| Cooperative multi-agent reinforcement learning with hierarchical relation graph under partial observability Y Li, X Wang, J Wang, W Wang, X Luo, S Xie 2020 IEEE 32nd International Conference on Tools with Artificial …, 2020 | 6 | 2020 |
| Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning Y Li, X Luo, S Xie 2021 IEEE 33rd International Conference on Tools with Artificial …, 2021 | 3 | 2021 |
| Sem: Adaptive staged experience access mechanism for reinforcement learning J Wang, X Wang, X Luo, Z Zhang, W Wang, Y Li 2020 IEEE 32nd International Conference on Tools with Artificial …, 2020 | 2 | 2020 |
| Fully parameterized dueling mixing distributional q-leaning for multi-agent cooperation Q Wang, X Wang, M Gao, X Luo, Y Li, H Zhang 2022 IEEE 34th International Conference on Tools with Artificial …, 2022 | 1 | 2022 |
| Hierarchical relationship modeling in multi-agent reinforcement learning for mixed cooperative–competitive environments S Xie, Y Li, X Wang, H Zhang, Z Zhang, X Luo, H Yu Information Fusion 108, 102318, 2024 | | 2024 |
| Knowledge-Guided Communication Preference Learning Model for Multi-agent Cooperation H Zhang, H Yu, X Wang, M Wang, Z Zhang, Y Li, S Xie, X Luo Information Sciences, 120395, 2024 | | 2024 |
xiangfeng luoProfessor of Computer Science, Shanghai University在 shu.edu.cn 的电子邮件经过验证
xiangfeng luoProfessor of Computer Science, Shanghai University在 shu.edu.cn 的电子邮件经过验证