Improving deep reinforcement learning training convergence using fuzzy logic for autonomous mobile robot navigation

• المؤلفون الرئيسيون: Kamarulariffin, Abdurrahman, Mohd Ibrahim, Azhar, Bahamid, Alala
• التنسيق: مقال
• اللغة: English; English
• منشور في: The Science and Information (SAI) Organization 2023
• الموضوعات: T Technology (General)
• الوصول للمادة أونلاين: 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
• المؤسسة: Universiti Islam Antarabangsa Malaysia

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...