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- W4387574920 abstract "Abstract This paper surveys recent multiagent reinforcement learning and neural Myerson auction deep learning efforts to improve mobility control and resource management in autonomous ground and aerial vehicles. The multiagent reinforcement learning communication network (CommNet) was introduced to enable multiple agents to perform actions in a distributed manner to achieve shared goals by training all agents' states and actions in a single neural network. Additionally, the Myerson auction method guarantees trustworthiness among multiple agents to optimize rewards in highly dynamic systems. Our findings suggest that the integration of MARL CommNet and Myerson techniques is very much needed for improved efficiency and trustworthiness." @default.
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- W4387574920 date "2023-10-09" @default.
- W4387574920 modified "2023-10-14" @default.
- W4387574920 title "Two tales of platoon intelligence for autonomous mobility control: Enabling deep learning recipes" @default.
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- W4387574920 doi "https://doi.org/10.4218/etrij.2023-0132" @default.
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