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Deep reinforcement learning with robust augmented reward sequence prediction for improving GNSS positioning

Jianhao Tang, Zhenni Li, Qingsong Yu, Haoli Zhao, Kungan Zeng, Shiguang Zhong, Qianming Wang, Kan Xie, Victor Kuzin, Shengli Xie

2025GPS Solutions13 citationsDOI

Topics & Concepts

GNSS applicationsReinforcement learningSequence (biology)Artificial intelligenceComputer scienceMachine learningGlobal Positioning SystemTelecommunicationsBiologyGeneticsGNSS positioning and interferenceInertial Sensor and NavigationIndoor and Outdoor Localization Technologies
Deep reinforcement learning with robust augmented reward sequence prediction for improving GNSS positioning | Litcius