Multi-task safe reinforcement learning for navigating intersections in dense traffic

DOI10.1016/j.jfranklin.2022.06.052zbMath1530.93339arXiv2202.09644OpenAlexW4226170924MaRDI QIDQ6136441

Yu-Qi Liu, Yinfeng Gao, Da-wei Ding, Qichao Zhang, Dongbin Zhao

Publication date: 17 January 2024

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2202.09644

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Automated systems (robots, etc.) in control theory (93C85) Traffic problems in operations research (90B20)

Cites Work

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• Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity

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