| Robust motion control for UAV in dynamic uncertain environments using deep reinforcement learning K Wan, X Gao, Z Hu, G Wu Remote sensing 12 (4), 640, 2020 | 72 | 2020 |
| Relevant experience learning: A deep reinforcement learning method for UAV autonomous motion planning in complex unknown environments HU Zijian, GAO Xiaoguang, WAN Kaifang, Z Yiwei, W Qianglong Chinese Journal of Aeronautics 34 (12), 187-204, 2021 | 41 | 2021 |
| A dynamic adjusting reward function method for deep reinforcement learning with adjustable parameters Z Hu, K Wan, X Gao, Y Zhai Mathematical Problems in Engineering 2019, 1-10, 2019 | 34 | 2019 |
| Deep reinforcement learning approach with multiple experience pools for UAV’s autonomous motion planning in complex unknown environments Z Hu, K Wan, X Gao, Y Zhai, Q Wang Sensors 20 (7), 1890, 2020 | 32 | 2020 |
| An improved approach towards multi-agent pursuit–evasion game decision-making using deep reinforcement learning K Wan, D Wu, Y Zhai, B Li, X Gao, Z Hu Entropy 23 (11), 1433, 2021 | 28 | 2021 |
| ME‐MADDPG: An efficient learning‐based motion planning method for multiple agents in complex environments K Wan, D Wu, B Li, X Gao, Z Hu, D Chen International Journal of Intelligent Systems 37 (3), 2393-2427, 2022 | 20 | 2022 |
| A threat assessment method for unmanned aerial vehicle based on bayesian networks under the condition of small data sets R Di, X Gao, Z Guo, K Wan Mathematical Problems in Engineering 2018, 2018 | 15 | 2018 |
| A learning-based flexible autonomous motion control method for UAV in dynamic unknown environments W Kaifang, LI Bo, GAO Xiaoguang, H Zijian, Y Zhipeng Journal of Systems Engineering and Electronics 32 (6), 1490-1508, 2021 | 12 | 2021 |
| A novel restricted Boltzmann machine training algorithm with fast Gibbs sampling policy Q Wang, X Gao, K Wan, F Li, Z Hu mathematical Problems in Engineering 2020, 1-19, 2020 | 12 | 2020 |
| Mobility control of unmanned aerial vehicle as communication relay in airborne multi-user systems G Wu, X Gao, X Fu, KF Wan, RH Di Chinese Journal of Aeronautics 32 (6), 1520-1529, 2019 | 12 | 2019 |
| Imaginary filtered hindsight experience replay for UAV tracking dynamic targets in large-scale unknown environments HU Zijian, GAO Xiaoguang, WAN Kaifang, N Evgeny, LI Jinliang Chinese Journal of Aeronautics 36 (5), 377-391, 2023 | 11 | 2023 |
| Autonomous robot navigation in dynamic environment using deep reinforcement learning X Qiu, K Wan, F Li 2019 IEEE 2nd International Conference on Automation, Electronics and …, 2019 | 11 | 2019 |
| Using approximate dynamic programming for multi-ESM scheduling to track ground moving targets WAN Kaifang, GAO Xiaoguang, LI Bo, LI Fei Journal of Systems Engineering and Electronics 29 (1), 74-85, 2018 | 11 | 2018 |
| Mission planning of passive networked sensors for cooperative anti-stealth detection based on POMDP K WAN, X GAO, B Li, J MEI Acta Armamentarii 36 (4), 731, 2015 | 10 | 2015 |
| Mobility control of unmanned aerial vehicle as communication relay to optimize ground-to-air uplinks G Wu, X Gao, K Wan Sensors 20 (8), 2332, 2020 | 9 | 2020 |
| Training restricted boltzmann machine using gradient fixing based algorithm F LI, X GAO, K WAN Chinese Journal of Electronics 27 (4), 694-703, 2018 | 9 | 2018 |
| Multi-UAV trajectory planning during cooperative tracking based on a Fusion Algorithm integrating MPC and standoff B Li, C Song, S Bai, J Huang, R Ma, K Wan, E Neretin Drones 7 (3), 196, 2023 | 8 | 2023 |
| An improved method towards multi-UAV autonomous navigation using deep reinforcement learning D Wu, K Wan, J Tang, X Gao, Y Zhai, Z Qi 2022 7th International Conference on Control and Robotics Engineering (ICCRE …, 2022 | 7 | 2022 |
| Optimal power partitioning for cooperative electronic jamming based on Lanchester with variable efficiency factors KF Wan Systems Engineering and Electronics 33 (7), 2011 | 7 | 2011 |
| Asynchronous curriculum experience replay: A deep reinforcement learning approach for UAV autonomous motion control in unknown dynamic environments Z Hu, X Gao, K Wan, Q Wang, Y Zhai IEEE Transactions on Vehicular Technology, 2023 | 6 | 2023 |
