LAIP: Learned Adaptive Inspection Paths using Offline Reinforcement Learning

Samuel Matloob; Ayan Dutta; O. Patrick Kreidl; Swapnonel Roy; Ladislau Bölöni

doi:10.1109/WI-IAT62293.2024.00032

LAIP: Learned Adaptive Inspection Paths using Offline Reinforcement Learning

Samuel Matloob, Ayan Dutta, O. Patrick Kreidl, Swapnonel Roy, Ladislau Bölöni

University of North Florida

Research output: Chapter or Contribution to Book › Literary contribution

Original language	English
Title of host publication	Proceedings - 2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2024
Pages	182-189
Number of pages	8
ISBN (Electronic)	9798331504946
DOIs	https://doi.org/10.1109/WI-IAT62293.2024.00032
State	Published - 2024
Event	2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2024 - Hybrid, Bangkok, Thailand Duration: Dec 9 2024 → Dec 12 2024

Publication series

Name	Proceedings - 2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2024

Conference

Conference	2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2024
Country/Territory	Thailand
City	Hybrid, Bangkok
Period	12/9/24 → 12/12/24

ASJC Scopus Subject Areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications

Keywords

informative path planning
reinforcement learning

Access to Document

10.1109/WI-IAT62293.2024.00032

Cite this

Matloob, S., Dutta, A., Kreidl, O. P., Roy, S., & Bölöni, L. (2024). LAIP: Learned Adaptive Inspection Paths using Offline Reinforcement Learning. In Proceedings - 2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2024 (pp. 182-189). (Proceedings - 2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2024). https://doi.org/10.1109/WI-IAT62293.2024.00032

LAIP: Learned Adaptive Inspection Paths using Offline Reinforcement Learning. / Matloob, Samuel; Dutta, Ayan ; Kreidl, O. Patrick et al.
Proceedings - 2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2024. 2024. p. 182-189 (Proceedings - 2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2024).

Research output: Chapter or Contribution to Book › Literary contribution

Matloob, S, Dutta, A , Kreidl, OP, Roy, S & Bölöni, L 2024, LAIP: Learned Adaptive Inspection Paths using Offline Reinforcement Learning. in Proceedings - 2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2024. Proceedings - 2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2024, pp. 182-189, 2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2024, Hybrid, Bangkok, Thailand, 12/9/24. https://doi.org/10.1109/WI-IAT62293.2024.00032

Matloob S, Dutta A , Kreidl OP, Roy S, Bölöni L. LAIP: Learned Adaptive Inspection Paths using Offline Reinforcement Learning. In Proceedings - 2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2024. 2024. p. 182-189. (Proceedings - 2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2024). doi: 10.1109/WI-IAT62293.2024.00032

Matloob, Samuel ; Dutta, Ayan ; Kreidl, O. Patrick et al. / LAIP : Learned Adaptive Inspection Paths using Offline Reinforcement Learning. Proceedings - 2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2024. 2024. pp. 182-189 (Proceedings - 2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2024).

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title = "LAIP: Learned Adaptive Inspection Paths using Offline Reinforcement Learning",

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author = "Samuel Matloob and Ayan Dutta and Kreidl, \{O. Patrick\} and Swapnonel Roy and Ladislau B{\"o}l{\"o}ni",

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LAIP: Learned Adaptive Inspection Paths using Offline Reinforcement Learning

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this