Decision-Making Strategy on Highway for Autonomous Vehicles Using Deep Reinforcement Learning

Decision-Making Strategy on Highway for Autonomous Vehicles Using Deep Reinforcement Learning

Autonomous driving is a promising technology to reduce traffic accidents and improve driving efficiency. In this work, a deep reinforcement learning (DRL)-enabled decision-making policy is constructed for autonomous vehicles to address the overtaking behaviors on the highway. First, a highway drivin...

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Bibliographic Details
Main Authors: Jiangdong Liao, Teng Liu, Xiaolin Tang, Xingyu Mu, Bing Huang, Dongpu Cao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Autonomous driving
decision-making
deep reinforcement learning
dueling deep Q-network
deep Q-learning
overtaking policy
Online Access:https://ieeexplore.ieee.org/document/9190040/

Internet

https://ieeexplore.ieee.org/document/9190040/

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