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Boosting the Training of Deep Reinforcement Learning Traffic Control by Using the World Model

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Year: 2024
Type: article
Source: IEEE Intelligent Transportation Systems Magazine
DOI: 10.1109/mits.2024.3440069
Authors: Pengbo Wang, Yisheng Lv, Jingwei Ge, Li Li
Institutions: Tsinghua University, Chinese Academy of Sciences, Institute of Automation, Beijing National Research Center for Information Science and Technology
Language: English

Topic: Traffic control and management
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

Funder: National Outstanding Youth Science Fund Project of National Natural Science Foundation of China
Award: G2938019274
OpenAlex ID: W4401871030
FWCI: 0.314
Cites: 30
Cited by: 2
Related to: 10
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