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Continuous residual reinforcement learning for traffic signal control optimization
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: Canadian journal of civil engineering (Print), ISSN 0315-1468, E-ISSN 1208-6029, Vol. 45, no 8, p. 690-702Article in journal (Refereed) Published
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2018. Vol. 45, no 8, p. 690-702
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Control Engineering
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URN: urn:nbn:se:uu:diva-364927DOI: 10.1139/cjce-2017-0408ISI: 000440632100009OAI: oai:DiVA.org:uu-364927DiVA, id: diva2:1261782
Available from: 2018-03-05 Created: 2018-11-08 Last updated: 2018-11-10Bibliographically approved

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Seipel, Stefan

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