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Traffic signal optimization through discrete and continuous reinforcement learning with robustness analysis in downtown Tehran
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.ORCID iD: 0000-0003-0085-5829
2018 (English)In: Advanced Engineering Informatics, ISSN 1474-0346, E-ISSN 1873-5320, Vol. 38, p. 639-655Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2018. Vol. 38, p. 639-655
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Computer and Information Sciences
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URN: urn:nbn:se:uu:diva-373216DOI: 10.1016/j.aei.2018.08.002ISI: 000454378700047OAI: oai:DiVA.org:uu-373216DiVA, id: diva2:1278029
Available from: 2018-10-08 Created: 2019-01-11 Last updated: 2019-01-17Bibliographically approved

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Seipel, Stefan

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