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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Auteurs principaux:	Xiao Yang, Hongfei Liu, Miao Xu, Jintao Wan
Format:	Artigo
Langue:	Inglês
Publié:	IEEE 2024-01-01
Collection:	IEEE Access
Sujets:	Autonomous driving deep reinforcement learning merging control cooperative driving proximal policy optimization
Accès en ligne:	https://ieeexplore.ieee.org/document/10546277/
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