Navigation System in Dynamic Indoor Environment Using Deep Reinforcement Learning with Actor-Critic

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Navigation System in Dynamic Indoor Environment Using Deep Reinforcement Learning with Actor-Critic

The challenge of mobile robot navigation system is how to find the optimal path and be able to avoid obstacles. The obstacles could be stationary or moving objects, which make the environment of mobile robot would be changed dynamically. Regarding this problem, the conventional method should update...

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Bibliographic Details
Published in:	Proceedings - 2024 FORTEI-International Conference on Electrical Engineering: Empowering Innovations : Navigating The Future Of Semiconductor Industry, FORTEI-ICEE 2024
Main Author:	Sendari S.; Muladi; Ardiyansyah F.; Zaeni I.A.E.; Widyaningtyas T.; Wibowo D.A.; Yuztar M.; Setumin S.
Format:	Conference paper
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85217560118&doi=10.1109%2fFORTEI-ICEE64706.2024.10824360&partnerID=40&md5=1b15218e2331fd0090df4cea3056bbfd

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