SvgAI - Training artificial intelligent agent to use SVG editor

研究成果: Conference contribution

抄録

Deep reinforcement learning has been successfully used to train artificial intelligent (AI) agents to outperform humans in many tasks as well as to enhance the capability in robotic automation. In this paper, we propose a framework to train an AI agent to use scalable vector graphic (SVG) editor to draw SVG images. Hence, the objective of this AI agent is to draw SVG images that are similar as much as possible to their target raster images. We find that it is crucial to distinguish the action space into two sets and apply a different exploration policy on each set during the training process. Evaluations show that our proposed dual-exploration policy greatly stabilizes the training process and increases the accuracy of the AI agent. SVG images produced by the proposed AI agent also have superior quality compared to popular raster-to-SVG conversion software.

本文言語English
ホスト出版物のタイトルIEEE 20th International Conference on Advanced Communication Technology
ホスト出版物のサブタイトルOpening New Era of Intelligent Things, ICACT 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ132-138
ページ数7
2018-February
ISBN(電子版)9791188428007
DOI
出版ステータスPublished - 2018 3 23
イベント20th IEEE International Conference on Advanced Communication Technology, ICACT 2018 - Chuncheon, Korea, Republic of
継続期間: 2018 2 112018 2 14

Other

Other20th IEEE International Conference on Advanced Communication Technology, ICACT 2018
国/地域Korea, Republic of
CityChuncheon
Period18/2/1118/2/14

ASJC Scopus subject areas

  • 電子工学および電気工学

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