Fast Path Planning for Unmanned Aerial Vehicles by Self-Correction Based on Q-Learning

التفاصيل البيبلوغرافية
العنوان: Fast Path Planning for Unmanned Aerial Vehicles by Self-Correction Based on Q-Learning
المؤلفون: Qingsong Wu, Jiafei Zheng, Hongbing Yang, Ziyang Wang
المصدر: Journal of Aerospace Information Systems. 18:203-211
بيانات النشر: American Institute of Aeronautics and Astronautics (AIAA), 2021.
سنة النشر: 2021
مصطلحات موضوعية: 020301 aerospace & aeronautics, 0209 industrial biotechnology, Computer science, Q-learning, Aerospace Engineering, Particle swarm optimization, ComputerApplications_COMPUTERSINOTHERSYSTEMS, 02 engineering and technology, Fast path, Stochastic programming, Computer Science Applications, 020901 industrial engineering & automation, 0203 mechanical engineering, Position (vector), Genetic algorithm, Reinforcement learning, Motion planning, Electrical and Electronic Engineering, Algorithm
الوصف: This paper addresses a path planning problem for unmanned aerial vehicles with correcting position errors through correction-point navigation, which requires a rapid response when determining the f...
تدمد: 2327-3097
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::8685fc1ffa43fcf87b15bb3d7dd3f4b5Test
https://doi.org/10.2514/1.i010856Test
رقم الانضمام: edsair.doi...........8685fc1ffa43fcf87b15bb3d7dd3f4b5
قاعدة البيانات: OpenAIRE