Cooperative Merging Control Based on Reinforcement Learning With Dynamic Waypoint

Cooperative Merging Control Based on Reinforcement Learning With Dynamic Waypoint

Reinforcement learning algorithms can cooperate with trajectory planning idea to improve the training efficiency in the field of autonomous driving for the fixed geometric constraints of the road and limited dynamics. In this study, we propose a Dynamic Waypoint Proximal Policy Optimization (DW-PPO)...

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Bibliographic Details
Main Authors: Xiao Yang, Hongfei Liu, Miao Xu, Jintao Wan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Autonomous driving
deep reinforcement learning
merging control
cooperative driving
proximal policy optimization
Online Access:https://ieeexplore.ieee.org/document/10546277/

Internet

https://ieeexplore.ieee.org/document/10546277/

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