Cargando…
CLSQL: Improved Q-Learning Algorithm Based on Continuous Local Search Policy for Mobile Robot Path Planning
How to generate the path planning of mobile robots quickly is a problem in the field of robotics. The Q-learning(QL) algorithm has recently become increasingly used in the field of mobile robot path planning. However, its selection policy is blind in most cases in the early search process, which slo...
Autores principales: | Ma, Tian, Lyu, Jiahao, Yang, Jiayi, Xi, Runtao, Li, Yuancheng, An, Jinpeng, Li, Chao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371426/ https://www.ncbi.nlm.nih.gov/pubmed/35957467 http://dx.doi.org/10.3390/s22155910 |
Ejemplares similares
-
Mobile robot path planning with reformative bat algorithm
por: Xin, Gongfeng, et al.
Publicado: (2022) -
The Path Planning of Mobile Robot by Neural Networks and Hierarchical Reinforcement Learning
por: Yu, Jinglun, et al.
Publicado: (2020) -
Path Planning for Mobile Robot Based on Improved Bat Algorithm
por: Yuan, Xin, et al.
Publicado: (2021) -
Intelligent Optimization Algorithm-Based Path Planning for a Mobile Robot
por: Song, Qisong, et al.
Publicado: (2021) -
A novel Q-learning algorithm based on improved whale optimization algorithm for path planning
por: Li, Ying, et al.
Publicado: (2022)