DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Shin, Hayong | - |
dc.contributor.advisor | 신하용 | - |
dc.contributor.author | Merve, Doganbas | - |
dc.date.accessioned | 2023-06-23T19:31:13Z | - |
dc.date.available | 2023-06-23T19:31:13Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=997797&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/308799 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 산업및시스템공학과, 2022.2,[iii, 20 p. :] | - |
dc.description.abstract | This research focuses on the path planning problem that emerges during the inspection of a Printed Circuit Board (PCB) at semiconductor fabs. The inspection process consists of two elements: the camera and the image processor. The camera visits and captures the predetermined locations on a PCB. The inspection is performed on this image by the backend image processor. The objective of the research is to minimize the makepsan of the inspection of a PCB. A reinforcement learning approach is proposed to solve the problem. Firstly, the 2-Opt heuristic method is adopted. A policy network and a state value network are trained on the paths provided by the 2-Opt in a supervised manner. The policy network provided comparable solutions to the target policy which is the 2-Opt heuristic. * The author of this thesis is a Global Korea Scholarship scholar sponsored by the Korean Government | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.title | (A) reinforcement learning approach to the path planning problem with backend information processing | - |
dc.title.alternative | 백엔드 정보 처리를 포함한 경로 탐색 문제에 대한 강화학습 접근법 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :산업및시스템공학과, | - |
dc.contributor.alternativeauthor | 메르베 | - |
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