SGD-TripleQNet: An Integrated Deep Reinforcement Learning Model for Vehicle Lane-Change Decision

SGD-TripleQNet: An Integrated Deep Reinforcement Learning Model for Vehicle Lane-Change Decision

With the advancement of autonomous driving technology, vehicle lane-change decision (LCD) has become a critical issue for improving driving safety and efficiency. Traditional deep reinforcement learning (DRL) methods face challenges such as slow convergence, unstable decisions, and low accuracy when...

Full description

Saved in:
Bibliographic Details
Main Authors: Yang Liu, Tianxing Yang, Liwei Tian, Jianbiao Pei
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Mathematics
Subjects:
autonomous driving
deep reinforcement learning
lane-change decision
stochastic gradient descent (SGD) optimization algorithm
Online Access:https://www.mdpi.com/2227-7390/13/2/235
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2227-7390/13/2/235

Similar Items