| Towards Real-Time Path Planning through Deep Reinforcement Learning for a UAV in Dynamic Environments C Yan, X Xiang, C Wang Journal of Intelligent & Robotic Systems 98 (2), 297-309, 2019 | 226 | 2019 |
| A path planning algorithm for UAV based on improved Q-learning C Yan, X Xiang 2018 2nd International Conference on Robotics and Automation Sciences (ICRAS …, 2018 | 85 | 2018 |
| Deep reinforcement learning of collision-free flocking policies for multiple fixed-wing UAVs using local situation maps C Yan, C Wang, X Xiang, Z Lan, Y Jiang IEEE Transactions on Industrial Informatics 18 (2), 1260-1270, 2021 | 60 | 2021 |
| Fixed-Wing UAVs flocking in continuous spaces: A deep reinforcement learning approach C Yan, X Xiang, C Wang Robotics and Autonomous Systems 131, 103594, 2020 | 56 | 2020 |
| Coactive design of explainable agent-based task planning and deep reinforcement learning for human-UAVs teamwork W Chang, WU Lizhen, YAN Chao, W Zhichao, L Han, YU Chao Chinese Journal of Aeronautics 33 (11), 2930-2945, 2020 | 40 | 2020 |
| Cooperative trajectory design of multiple UAV base stations with heterogeneous graph neural networks X Zhang, H Zhao, J Wei, C Yan, J Xiong, X Liu IEEE Transactions on Wireless Communications 22 (3), 1495-1509, 2022 | 33 | 2022 |
| Collision-avoiding flocking with multiple fixed-wing UAVs in obstacle-cluttered environments: a task-specific curriculum-based MADRL approach C Yan, C Wang, X Xiang, KH Low, X Wang, X Xu, L Shen IEEE Transactions on Neural Networks and Learning Systems, 2023 | 29 | 2023 |
| A continuous actor-critic reinforcement learning approach to flocking with fixed-wing UAVs C Wang, C Yan, X Xiang, H Zhou Asian Conference on Machine Learning, 64-79, 2019 | 22 | 2019 |
| PASCAL: population-specific curriculum-based MADRL for collision-free flocking with large-scale fixed-wing UAV swarms C Yan, X Xiang, C Wang, F Li, X Wang, X Xu, L Shen Aerospace Science and Technology 133, 108091, 2023 | 18 | 2023 |
| MACRO: multi-attention convolutional recurrent model for subject-independent ERP detection Z Lan, C Yan, Z Li, D Tang, X Xiang IEEE Signal Processing Letters 28, 1505-1509, 2021 | 14 | 2021 |
| Flocking and Collision Avoidance for a Dynamic Squad of Fixed-Wing UAVs Using Deep Reinforcement Learning C Yan, X Xiang, C Wang, Z Lan 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 13* | 2021 |
| Multi-UAV Coverage through Two-Step Auction in Dynamic Environments Y Sun, Q Tan, C Yan, Y Chang, X Xiang, H Zhou Drones 6 (6), 153, 2022 | 9 | 2022 |
| Towards end-to-end formation control for robotic fish via deep reinforcement learning with non-expert imitation Y Sun, C Yan, X Xiang, H Zhou, D Tang, Y Zhu Ocean Engineering 271, 113811, 2023 | 8 | 2023 |
| Towards flocking navigation and obstacle avoidance for multi-UAV systems through hierarchical weighting Vicsek model X Liu, C Yan, H Zhou, Y Chang, X Xiang, D Tang Aerospace 8 (10), 286, 2021 | 8 | 2021 |
| Tactical conflict resolution in urban airspace for unmanned aerial vehicles operations using attention-based deep reinforcement learning M Zhang, C Yan, W Dai, X Xiang, KH Low Green Energy and Intelligent Transportation 2 (4), 100107, 2023 | 6 | 2023 |
| Hierarchical weighting vicsek model for flocking navigation of drones X Liu, X Xiang, Y Chang, C Yan, H Zhou, D Tang Drones 5 (3), 74, 2021 | 6 | 2021 |
| MCGRAM: Linking multi-scale CNN with a graph-based recurrent attention model for subject-independent erp detection Z Li, C Yan, Z Lan, D Tang, X Xiang IEEE Transactions on Circuits and Systems II: Express Briefs 69 (12), 5199-5203, 2022 | 4 | 2022 |
| GCEN: Multi-agent deep reinforcement learning with grouped cognitive feature representation H Gao, X Xu, C Yan, Y Lan, K Yao IEEE Transactions on Cognitive and Developmental Systems, 2023 | 3 | 2023 |
| A scalable deep reinforcement learning algorithm for partially observable Pursuit-Evasion game Y Sun, C Yan, Z Lan, B Lin, H Zhou, X Xiang 2022 International Conference on Machine Learning, Cloud Computing and …, 2022 | 3 | 2022 |
| Reinforcement Learning with an Extended Classifier System in Zero-sum Markov Games C Wang, H Chen, C Yan, X Xiang 2019 IEEE International Conference on Agents (ICA), 44-49, 2019 | 3 | 2019 |
Chang WangInstitute of Unmanned Systems, National University of Defense Technology在 nudt.edu.cn 的电子邮件经过验证
