Multi-Agent Reinforcement Learning for Online Food Delivery with Location Privacy Preservation

Multi-Agent Reinforcement Learning for Online Food Delivery with Location Privacy Preservation

Online food delivery services today are considered an essential service that gets significant attention worldwide. Many companies and individuals are involved in this field as it offers good income and numerous jobs to the community. In this research, we consider the problem of online food delivery...

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Bibliographic Details
Main Authors:	Suleiman Abahussein, Dayong Ye, Congcong Zhu, Zishuo Cheng, Umer Siddique, Sheng Shen
Format:	Article
Language:	English
Published:	MDPI AG 2023-11-01
Series:	Information
Subjects:	privacy differential privacy online food delivery deep reinforcement learning multi-agent reinforcement learning
Online Access:	https://www.mdpi.com/2078-2489/14/11/597

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