Evaluating Robustness of Reinforcement Learning Algorithms for Autonomous Shipping

dc.contributor.author	Lesy, Bavo
dc.contributor.author	Anwar, Ali
dc.contributor.author	Mercelis, Siegfried
dc.contributor.imecauthor	Lesy, Bavo
dc.contributor.imecauthor	Anwar, Ali
dc.contributor.imecauthor	Mercelis, Siegfried
dc.contributor.orcidimec	Lesy, Bavo::0009-0000-9395-9437
dc.contributor.orcidimec	Anwar, Ali::0000-0002-5523-0634
dc.contributor.orcidimec	Mercelis, Siegfried::0000-0001-9355-6566
dc.date.accessioned	2025-07-29T08:44:09Z
dc.date.available	2025-07-20T03:57:03Z
dc.date.available	2025-07-29T08:44:09Z
dc.date.issued	2024
dc.description.wosFundingText	This work is conducted within the DEFRA AHOI project, funded by the Belgian Royal Higher Institute for Defence, under contract number 23DEFRA002.
dc.identifier.doi	10.1109/RAAI64504.2024.10949512
dc.identifier.eisbn	979-8-3315-2003-8
dc.identifier.isbn	979-8-3315-2004-5
dc.identifier.issn	N/A
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/45919
dc.publisher	IEEE
dc.source.beginpage	370
dc.source.conference	4th International Conference on Robotics Automation and Artificial Intelligence-RAAI-Annual
dc.source.conferencedate	DEC 19-21, 2024
dc.source.conferencelocation	Singapore
dc.source.endpage	374
dc.source.journal	N/A
dc.source.numberofpages	5
dc.title	Evaluating Robustness of Reinforcement Learning Algorithms for Autonomous Shipping
dc.type	Proceedings paper
dspace.entity.type	Publication
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