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Deep reinforcement learning based energy beamforming for powering sensor networks
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
Dept. Computer Science, Hacettepe University, Turkey.
Dept. of Electrical and Computer Engineering, University of California, USA.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.ORCID iD: 0000-0001-9066-5468
2019 (English)In: 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP 2019), 2019Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2019.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Signal Processing
Research subject
Electrical Engineering with specialization in Signal Processing
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URN: urn:nbn:se:uu:diva-398752DOI: 10.1109/MLSP.2019.8918775ISBN: 9781728108254 (print)OAI: oai:DiVA.org:uu-398752DiVA, id: diva2:1376718
Conference
29th IEEE International Workshop on Machine Learning for Signal Processing, October 13-16, Pittsburg, USA
Available from: 2019-12-10 Created: 2019-12-10 Last updated: 2020-03-25Bibliographically approved

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CiteExportLink to record
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