{"id":"https://openalex.org/W2767518680","doi":"https://doi.org/10.1109/mfi.2017.8170388","title":"Deep reinforcement learning algorithms for steering an underactuated ship","display_name":"Deep reinforcement learning algorithms for steering an underactuated ship","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2767518680","doi":"https://doi.org/10.1109/mfi.2017.8170388","mag":"2767518680"},"language":"en","primary_location":{"id":"doi:10.1109/mfi.2017.8170388","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2017.8170388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pureadmin.qub.ac.uk/ws/files/138110996/paper_2_.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034496104","display_name":"Tuyen P. Le","orcid":"https://orcid.org/0000-0002-1345-2650"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Le Pham Tuyen","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Yongin, Gyeonggi, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Yongin, Gyeonggi, South Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013476292","display_name":"Md. Abu Layek","orcid":"https://orcid.org/0000-0002-0253-4597"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Abu Layek","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Yongin, Gyeonggi, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Yongin, Gyeonggi, South Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043775193","display_name":"Ngo Anh Vien","orcid":"https://orcid.org/0000-0001-9646-267X"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ngo Anh Vien","raw_affiliation_strings":["EEECS/ECIT Queen's University Belfast"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EEECS/ECIT Queen's University Belfast","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112330829","display_name":"TaeChoong Chung","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"TaeChoong Chung","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Yongin, Gyeonggi, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Yongin, Gyeonggi, South Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2719,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.91213314,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"602","last_page":"607"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8952500224113464},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6959413290023804},{"id":"https://openalex.org/keywords/underactuation","display_name":"Underactuation","score":0.6180282831192017},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5728310346603394},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5335322618484497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5005171298980713},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48591938614845276},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47191646695137024},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.363511860370636},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3382173776626587},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.19932731986045837},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18049746751785278}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8952500224113464},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6959413290023804},{"id":"https://openalex.org/C88337583","wikidata":"https://www.wikidata.org/wiki/Q7883433","display_name":"Underactuation","level":3,"score":0.6180282831192017},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5728310346603394},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5335322618484497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5005171298980713},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48591938614845276},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47191646695137024},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.363511860370636},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3382173776626587},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.19932731986045837},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18049746751785278},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mfi.2017.8170388","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2017.8170388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/737f8b6f-f224-49b6-9ab4-617e734cc670","is_oa":true,"landing_page_url":"https://pure.qub.ac.uk/en/publications/737f8b6f-f224-49b6-9ab4-617e734cc670","pdf_url":"https://pureadmin.qub.ac.uk/ws/files/138110996/paper_2_.pdf","source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Pham Tuyen , L , Abu , L , Vien , N A &amp; Chung , T 2017 , Deep Reinforcement Learning Algorithms for Steering a Underactuated Ship . in 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017) . 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017) , Korea, Republic of , 16/11/2017 . https://doi.org/10.1109/MFI.2017.8170388","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/737f8b6f-f224-49b6-9ab4-617e734cc670","is_oa":true,"landing_page_url":"https://pure.qub.ac.uk/en/publications/737f8b6f-f224-49b6-9ab4-617e734cc670","pdf_url":"https://pureadmin.qub.ac.uk/ws/files/138110996/paper_2_.pdf","source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Pham Tuyen , L , Abu , L , Vien , N A &amp; Chung , T 2017 , Deep Reinforcement Learning Algorithms for Steering a Underactuated Ship . in 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017) . 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017) , Korea, Republic of , 16/11/2017 . https://doi.org/10.1109/MFI.2017.8170388","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2905686298","display_name":null,"funder_award_id":"NRF-2017R1D1A1B04036354","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321332","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2767518680.pdf","grobid_xml":"https://content.openalex.org/works/W2767518680.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1592847719","https://openalex.org/W1974803091","https://openalex.org/W2012587148","https://openalex.org/W2017957151","https://openalex.org/W2125612430","https://openalex.org/W2139394304","https://openalex.org/W2142592520","https://openalex.org/W2145339207","https://openalex.org/W2156737235","https://openalex.org/W2165150801","https://openalex.org/W2173248099","https://openalex.org/W2271840356","https://openalex.org/W2290354866","https://openalex.org/W2312609093","https://openalex.org/W2515702215","https://openalex.org/W2532887160","https://openalex.org/W2950471160","https://openalex.org/W2963262099","https://openalex.org/W2963864421","https://openalex.org/W2964121744","https://openalex.org/W4205513846","https://openalex.org/W4214717370","https://openalex.org/W4245798716","https://openalex.org/W4249441547","https://openalex.org/W4302570325","https://openalex.org/W6680606377","https://openalex.org/W6683195989","https://openalex.org/W6684205842","https://openalex.org/W6696324988","https://openalex.org/W6703271639","https://openalex.org/W6729062733"],"related_works":["https://openalex.org/W587013945","https://openalex.org/W1485310626","https://openalex.org/W33907905","https://openalex.org/W4285553839","https://openalex.org/W3011477119","https://openalex.org/W2371440471","https://openalex.org/W2075135955","https://openalex.org/W4293094921","https://openalex.org/W4313405128","https://openalex.org/W2000675896"],"abstract_inverted_index":{"Based":[0],"on":[1],"state-of-the-art":[2],"deep":[3],"reinforcement":[4],"learning":[5],"(Deep":[6],"RL)":[7],"algorithms,":[8],"two":[9],"controllers":[10],"are":[11],"proposed":[12],"to":[13,27,35,37,46,50],"pass":[14],"a":[15,18,24,29],"ship":[16,51],"through":[17],"specified":[19],"gate.":[20],"Deep":[21],"RL":[22],"is":[23,33],"powerful":[25],"approach":[26],"learn":[28],"complex":[30],"controller":[31],"which":[32],"expected":[34],"adapt":[36],"different":[38],"situations":[39],"of":[40,59],"systems.":[41],"This":[42],"paper":[43],"explains":[44],"how":[45],"apply":[47],"these":[48,60],"algorithms":[49,61],"steering":[52],"problem.":[53],"The":[54],"simulation":[55],"results":[56],"show":[57],"advantages":[58],"in":[62],"reproducing":[63],"reliable":[64],"and":[65],"stable":[66],"controllers.":[67]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
