The following publications are possibly variants of this publication:
- Autonomous Navigation of UAVs in Large-Scale Complex Environments: A Deep Reinforcement Learning ApproachChao Wang, Jian Wang 0030, Yuan Shen, Xudong Zhang. tvt, 68(3):2124-2136, 2019. [doi]
- A Deep Reinforcement Learning Approach to Flocking and Navigation of UAVS in Large-Scale Complex EnvironmentsChao Wang, Jian Wang 0030, Xudong Zhang. globalsip 2018: 1228-1232 [doi]
- Deep Reinforcement Learning Approach with Multiple Experience Pools for UAV's Autonomous Motion Planning in Complex Unknown EnvironmentsZijian Hu, Kaifang Wan, Xiaoguang Gao, Yiwei Zhai, Qianglong Wang. sensors, 20(7):1890, 2020. [doi]
- UAV Agile Navigation Method for Unknown Environment via Deep Reinforcement LearningYujia Xu, Botao Zhang, Fan Yang, Jiayu Chai, Qiang Lu 0001, Youngjin Choi. iecon 2023: 1-6 [doi]
- Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic EnvironmentsZijian Hu, Xiaoguang Gao, Kaifang Wan, Qianglong Wang, Yiwei Zhai. tvt, 72(11):13985-14001, November 2023. [doi]
- Autonomous navigation of UAV in multi-obstacle environments based on a Deep Reinforcement Learning approachSitong Zhang, Yibing Li, Qianhui Dong. asc, 115:108194, 2022. [doi]