Kaifang Wan

According to our database, Kaifang Wan authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments.

Zijian Hu, Xiaoguang Gao, Kaifang Wan, Qianglong Wang, Yiwei Zhai

IEEE Trans. Veh. Technol., November, 2023

A precise method for RBMs training using phased curricula.

Qianglong Wang, Xiaoguang Gao, Xinyu Li, Zijian Hu, Kaifang Wan

Multim. Tools Appl., March, 2023

Object feature selection under high-dimension and few-shot data based on three-way decision.

Kaifang Wan, Jianmei Wang, Bo Li, Daqing Chen, Linyu Tian

Vis. Comput., 2023

2022

Generative and discriminative infinite restricted Boltzmann machine training.

Qianglong Wang, Xiaoguang Gao, Kaifang Wan, Zijian Hu

Int. J. Intell. Syst., 2022

ME-MADDPG: An efficient learning-based motion planning method for multiple agents in complex environments.

Kaifang Wan, Dingwei Wu, Bo Li, Xiaoguang Gao, Zijian Hu, Daqing Chen

Int. J. Intell. Syst., 2022

2021

An Improved Approach towards Multi-Agent Pursuit-Evasion Game Decision-Making Using Deep Reinforcement Learning.

Kaifang Wan, Dingwei Wu, Yiwei Zhai, Bo Li, Xiaoguang Gao, Zijian Hu

Entropy, 2021

2020

Mobility Control of Unmanned Aerial Vehicle as Communication Relay to Optimize Ground-to-Air Uplinks.

Gaofeng Wu, Xiaoguang Gao, Kaifang Wan

Sensors, 2020

Deep Reinforcement Learning Approach with Multiple Experience Pools for UAV's Autonomous Motion Planning in Complex Unknown Environments.

Zijian Hu, Kaifang Wan, Xiaoguang Gao, Yiwei Zhai, Qianglong Wang

Sensors, 2020

Robust Motion Control for UAV in Dynamic Uncertain Environments Using Deep Reinforcement Learning.

Kaifang Wan, Xiaoguang Gao, Zijian Hu, Gaofeng Wu

Remote. Sens., 2020