Vehicle Simulation Algorithm for Observations with Variable Dimensions Based on Deep Reinforcement Learning

Vehicle Simulation Algorithm for Observations with Variable Dimensions Based on Deep Reinforcement Learning

Vehicle simulation algorithms play a crucial role in enhancing traffic efficiency and safety by predicting and evaluating vehicle behavior in various traffic scenarios. Recently, vehicle simulation algorithms based on reinforcement learning have demonstrated excellent performance in practical tasks...

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Bibliographic Details
Main Authors: Yunzhuo Liu, Ruoning Zhang, Shijie Zhou
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Electronics
Subjects:
vehicle simulation
deep neural network
reinforcement learning
field adaptation
variable-dimensional observations
Online Access:https://www.mdpi.com/2079-9292/12/24/5029

Internet

https://www.mdpi.com/2079-9292/12/24/5029

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