2023
DOI: 10.48550/arxiv.2303.02583
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Multi-vehicle Platoon Overtaking Using NoisyNet Multi-Agent Deep Q-Learning Network

Abstract: With the recent advancements in Vehicle-to-Vehicle communication technology, autonomous vehicles are able to connect and collaborate in platoon, minimizing accident risks, costs, and energy consumption. The significant benefits of vehicle platooning have gained increasing attention from the automation and artificial intelligence areas. However, few studies have focused on platoon with overtaking. To address this problem, the NoisyNet multi-agent deep Q-learning algorithm is developed in this paper, which the N… Show more

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