Nash double Q-based multi-agent deep reinforcement learning for interactive merging strategy in mixed traffic-Reference-Cited by-同舟云学术

Nash double Q-based multi-agent deep reinforcement learning for interactive merging strategy in mixed traffic

Published:2024-03 Issue: Volume:237 Page:121458
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Li Lin^ORCID,Zhao Wanzhong,Wang Chunyan,Fotouhi Abbas^ORCID,Liu Xuze^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference50 articles.

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