Traffic Merging Model for Intelligent Vehicle Based on Deep Deterministic Policy Gradient

Traffic merging models for intelligent vehicle that use discrete action space to describe changing speed cannot meet the application requirements of actual traffic merging scenarios.Deep Deterministic Policy Gradient(DDPG),which integrates policy gradient with function approximation methods and adop...

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Bibliografski detalji
Glavni autor: WU Sifan, DU Yu, XU Shijie, YANG Shuo, DU Chen
Format: Artigo
Jezik:Inglês
Izdano: Editorial Office of Computer Engineering 2020-01-01
Serija:Jisuanji gongcheng
Teme:
intelligent vehicle|traffic merging|deep deterministic policy gradient(ddpg)|deep q-network(dqn)|continuous action space
Online pristup:https://www.ecice06.com/fileup/1000-3428/PDF/20200112.pdf
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