Multi-Agent Reinforcement Learning for Traffic Flow Management of Autonomous Vehicles
Multi-Agent Reinforcement Learning for Traffic Flow Management of Autonomous Vehicles
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Contents
Intelligent traffic management systems have become one of the main applications of Intelligent Transportation Systems (ITS). There is a growing interest in Reinforcement Learning (RL) based control methods in ITS applications such as autonomous driving and traffic management solutions. Deep learning helps in approximating substantially complex nonl...
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Full title
Multi-Agent Reinforcement Learning for Traffic Flow Management of Autonomous Vehicles
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TN_cdi_doaj_primary_oai_doaj_org_article_feff3c11a4f54b0e94697ad8e0b2fb72
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_feff3c11a4f54b0e94697ad8e0b2fb72
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s23052373
