FUSION SPARSE AND SHAPING REWARD FUNCTION IN SOFT ACTOR-CRITIC DEEP REINFORCEMENT LEARNING FOR MOBILE ROBOT NAVIGATION

• Main Authors: Abu Bakar, Mohamad Hafiz, Shamsudin, Abu Ubaidah, Soomro, Zubair Adil, Tadokoro, Satoshi, Salaan, C. J
• Format: Article
• Language: English
• Published: UTM 2024
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.uthm.edu.my/11759/1/J17155_fee1ae5af82031f5ee1f764afb29b8db.pdf; http://eprints.uthm.edu.my/11759/

Nowadays, the advancement in autonomous robots is the latest influenced by the development of a world surrounded by new technologies. Deep Reinforcement Learning (DRL) allows systems to operate automatically, so the robot will learn the next movement based on the interaction with the environment. Mo...