Improving deep reinforcement learning training convergence using fuzzy logic for autonomous mobile robot navigation
Autonomous robotic navigation has become hotspot research, particularly in complex environments, where inefficient exploration can lead to inefficient navigation. Previous approaches often had a wide range of assumptions and prior knowledge. Adaptations of machine learning (ML) approaches, especiall...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English English |
Published: |
The Science and Information (SAI) Organization
2023
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/108609/7/108609_Improving%20deep%20reinforcement%20learning%20training.pdf http://irep.iium.edu.my/108609/13/108609_%20Improving%20Deep%20Reinforcement%20Learning%20Training_Scopus.pdf http://irep.iium.edu.my/108609/ https://thesai.org/Downloads/Volume14No11/Paper_95-Improving_Deep_Reinforcement_Learning_Training_Convergence.pdf https://dx.doi.org/10.14569/IJACSA.2023.0141195 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Islam Antarabangsa Malaysia |
Language: | English English |
Internet
http://irep.iium.edu.my/108609/7/108609_Improving%20deep%20reinforcement%20learning%20training.pdfhttp://irep.iium.edu.my/108609/13/108609_%20Improving%20Deep%20Reinforcement%20Learning%20Training_Scopus.pdf
http://irep.iium.edu.my/108609/
https://thesai.org/Downloads/Volume14No11/Paper_95-Improving_Deep_Reinforcement_Learning_Training_Convergence.pdf
https://dx.doi.org/10.14569/IJACSA.2023.0141195