Citation Export
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hwang, Injun | - |
| dc.contributor.author | Jung, Soyi | - |
| dc.date.issued | 2024-01-01 | - |
| dc.identifier.issn | 2162-1241 | - |
| dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/38138 | - |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85217627240&origin=inward | - |
| dc.description.abstract | This survey examines the integration of graph neural networks (GNNs) and imitation learning (IL), focusing on the algorithms that merge these technologies and their practical applications. It explores how GNNs are used to effectively embed task-relevant information and how IL enables agents to replicate complex tasks. The review covers several key algorithms and examines their use in robotics, transportation, and engineering, highlighting the potential of GNNs and IL to enhance decision-making and performance in intricate environments. | - |
| dc.description.sponsorship | This work was supported by the Technology Innovation Program (1415187715, Development of AI learning platform for intelligent excavators based on expert work data) funded By the Ministry of Trade, Industry & Energy(MOTIE, Korea) | - |
| dc.language.iso | eng | - |
| dc.publisher | IEEE Computer Society | - |
| dc.subject.mesh | Complex task | - |
| dc.subject.mesh | Decision performance | - |
| dc.subject.mesh | Decisions makings | - |
| dc.subject.mesh | Graph neural networks | - |
| dc.subject.mesh | Imitation learning | - |
| dc.subject.mesh | Neural network learning | - |
| dc.subject.mesh | Reinforcement learnings | - |
| dc.subject.mesh | Task relevant | - |
| dc.title | Survey on Graph Neural Networks for Imitation Learning: Algorithms and Applications | - |
| dc.type | Conference | - |
| dc.citation.conferenceDate | 2024.10.16.~2024.10.18. | - |
| dc.citation.conferenceName | 15th International Conference on Information and Communication Technology Convergence, ICTC 2024 | - |
| dc.citation.edition | ICTC 2024 - 15th International Conference on ICT Convergence: AI-Empowered Digital Innovation | - |
| dc.citation.endPage | 970 | - |
| dc.citation.startPage | 968 | - |
| dc.citation.title | International Conference on ICT Convergence | - |
| dc.identifier.bibliographicCitation | International Conference on ICT Convergence, pp.968-970 | - |
| dc.identifier.doi | 10.1109/ictc62082.2024.10827765 | - |
| dc.identifier.scopusid | 2-s2.0-85217627240 | - |
| dc.identifier.url | http://ieeexplore.ieee.org/xpl/conferences.jsp | - |
| dc.subject.keyword | Graph Neural Networks | - |
| dc.subject.keyword | Imitation Learning | - |
| dc.subject.keyword | Reinforcement Learning | - |
| dc.type.other | Conference Paper | - |
| dc.identifier.pissn | 21621233 | - |
| dc.description.isoa | false | - |
| dc.subject.subarea | Information Systems | - |
| dc.subject.subarea | Computer Networks and Communications | - |
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