{"title":"Reinforcement Learning for the Optimization of Power Plane Designs in Power Delivery Networks","authors":"Seunghyup Han, O. W. Bhatti, Madhavan Swaminathan","doi":"10.1109/EPEPS53828.2022.9947173","DOIUrl":null,"url":null,"abstract":"This paper proposes a deep deterministic policy gradient (DDPG) based method to optimize the power plane in power delivery networks (PDNs). The proposed method considers the degrees of freedom of a plane design in a layer, determining the parameters for creating a power plane. The results show that the proposed method can provide an optimized power plane design even in a plane layer with a restricted region.","PeriodicalId":284818,"journal":{"name":"2022 IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPEPS53828.2022.9947173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper proposes a deep deterministic policy gradient (DDPG) based method to optimize the power plane in power delivery networks (PDNs). The proposed method considers the degrees of freedom of a plane design in a layer, determining the parameters for creating a power plane. The results show that the proposed method can provide an optimized power plane design even in a plane layer with a restricted region.
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