Robust Motion Control for UAV in Dynamic Uncertain Environments Using Deep Reinforcement Learning. - Kaifang Wan; Xiaoguang Gao 001; Zijian Hu 002; Gaofeng Wu (Remote. Sens., 2020)

Deep Reinforcement Learning Approach with Multiple Experience Pools for UAV's Autonomous Motion Planning in Complex Unknown Environments. - Zijian Hu 002; Kaifang Wan; Xiaoguang Gao 001; Yiwei Zhai; Qianglong Wang (Sensors, 2020)

An Improved Approach towards Multi-Agent Pursuit-Evasion Game Decision-Making Using Deep Reinforcement Learning. - Kaifang Wan; Dingwei Wu; Yiwei Zhai; Bo Li 004; Xiaoguang Gao 001; Zijian Hu 002 (Entropy, 2021)

ME-MADDPG: An efficient learning-based motion planning method for multiple agents in complex environments. - Kaifang Wan; Dingwei Wu; Bo Li 004; Xiaoguang Gao 001; Zijian Hu 002; Daqing Chen 001 (Int. J. Intell. Syst., 2022)

Generative and discriminative infinite restricted Boltzmann machine training. - Qianglong Wang; Xiaoguang Gao 001; Kaifang Wan; Zijian Hu 002 (Int. J. Intell. Syst., 2022)

A precise method for RBMs training using phased curricula. - Qianglong Wang; Xiaoguang Gao 001; Xinyu Li; Zijian Hu 002; Kaifang Wan (Multim. Tools Appl., 2023)

Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments. - Zijian Hu 002; Xiaoguang Gao 001; Kaifang Wan; Qianglong Wang; Yiwei Zhai (IEEE Trans. Veh. Technol., 2023)