2023
DOI: 10.48550/arxiv.2303.02630
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D-HAL: Distributed Hierarchical Adversarial Learning for Multi-Agent Interaction in Autonomous Intersection Management

Abstract: Autonomous Intersection Management (AIM) provides a signal-free intersection scheduling paradigm for Connected Autonomous Vehicles (CAVs). Distributed learning method has emerged as an attractive branch of AIM research. Compared with centralized AIM, distributed AIM can be deployed to CAVs at a lower cost, and compared with rule-based and optimization-based method, learningbased method can treat various complicated real-time intersection scenarios more flexibly. Deep reinforcement learning (DRL) is the mainstr… Show more

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