{"id":"https://openalex.org/W3081866731","doi":"https://doi.org/10.1145/3411408.3411427","title":"Apprenticeship learning of flight trajectories prediction with inverse reinforcement learning","display_name":"Apprenticeship learning of flight trajectories prediction with inverse reinforcement learning","publication_year":2020,"publication_date":"2020-09-01","ids":{"openalex":"https://openalex.org/W3081866731","doi":"https://doi.org/10.1145/3411408.3411427","mag":"3081866731"},"language":"en","primary_location":{"id":"doi:10.1145/3411408.3411427","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3411408.3411427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"11th Hellenic Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090222528","display_name":"Christos Spatharis","orcid":"https://orcid.org/0009-0001-2791-2291"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Christos Spatharis","raw_affiliation_strings":["University of Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051092577","display_name":"Konstantinos Blekas","orcid":"https://orcid.org/0000-0003-1085-8177"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantinos Blekas","raw_affiliation_strings":["University of Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040575826","display_name":"George A. Vouros","orcid":"https://orcid.org/0000-0001-5451-622X"},"institutions":[{"id":"https://openalex.org/I154757721","display_name":"University of Piraeus","ror":"https://ror.org/02qs84g94","country_code":"GR","type":"education","lineage":["https://openalex.org/I154757721"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"George A. Vouros","raw_affiliation_strings":["University of Piraeus, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Piraeus, Greece","institution_ids":["https://openalex.org/I154757721"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"241","last_page":"249"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9986000061035156,"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":0.9986000061035156,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7210765480995178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6933204531669617},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6837540864944458},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.6538615226745605},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6453899145126343},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6265944242477417},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5461817383766174},{"id":"https://openalex.org/keywords/imitation","display_name":"Imitation","score":0.5422900319099426},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5009963512420654},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4526597261428833},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.44463613629341125},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.2971079349517822},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0949704647064209}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7210765480995178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6933204531669617},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6837540864944458},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.6538615226745605},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6453899145126343},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6265944242477417},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5461817383766174},{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.5422900319099426},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5009963512420654},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4526597261428833},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.44463613629341125},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.2971079349517822},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0949704647064209},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3411408.3411427","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3411408.3411427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"11th Hellenic Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.550000011920929,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W398859631","https://openalex.org/W1986014385","https://openalex.org/W2169209873","https://openalex.org/W2347074400","https://openalex.org/W2402336294","https://openalex.org/W2557283755","https://openalex.org/W2963277051","https://openalex.org/W3024735831","https://openalex.org/W4254263038","https://openalex.org/W6718092244"],"related_works":["https://openalex.org/W2047027848","https://openalex.org/W4400868993","https://openalex.org/W3096874164","https://openalex.org/W1985560493","https://openalex.org/W2937181779","https://openalex.org/W2386410636","https://openalex.org/W2357975469","https://openalex.org/W2145363145","https://openalex.org/W1626977535","https://openalex.org/W2341346307"],"abstract_inverted_index":{"One":[0],"of":[1,5,34,73,175],"the":[2,49,87,94,103,108,125,168,173],"primary":[3],"goals":[4],"Artificial":[6],"Intelligence":[7],"research":[8],"is":[9,31,44,55,147],"to":[10,46,69,85,128,155],"develop":[11],"machines":[12],"with":[13,137],"human-like":[14],"intelligence,":[15],"perception":[16],"and":[17,42,83,140,151],"reasoning.":[18],"In":[19,97],"this":[20,98],"direction":[21],"teaching":[22],"apprentice":[23],"agents":[24,75],"by":[25,29,111],"observing":[26],"demonstrations":[27],"delivered":[28],"experts":[30],"a":[32,56,66],"framework":[33],"imitation":[35,122,150],"learning":[36,53,118],"that":[37,64,91,146,171],"can":[38],"provide":[39],"improved":[40],"solutions":[41],"it":[43],"possible":[45],"significantly":[47],"outperform":[48],"demonstrator.":[50],"Inverse":[51],"reinforcement":[52],"(IRL)":[54],"paradigm":[57],"relying":[58],"on":[59],"Markov":[60],"Decision":[61],"Processes":[62],"(MDPs)":[63],"has":[65,152],"twofold":[67],"target:":[68],"learn":[70,141],"optimum":[71],"policies":[72],"autonomous":[74],"for":[76],"solving":[77],"complex":[78],"tasks":[79],"from":[80,167],"successful":[81],"demonstrations,":[82],"also":[84],"discover":[86],"unknown":[88,156],"reward":[89,144],"function":[90],"could":[92],"explain":[93],"expert":[95],"behavior.":[96],"article":[99],"we":[100],"are":[101],"addressing":[102],"trajectory":[104,134,165],"prediction":[105],"problem":[106],"in":[107,178],"aviation":[109],"domain":[110],"using":[112,163],"an":[113,121,142],"IRL":[114],"approach.":[115],"The":[116],"proposed":[117],"scheme":[119],"provides":[120],"process":[123],"where":[124],"algorithm":[126],"tries":[127],"imitate":[129],"demonstrated":[130],"trajectories,":[131],"exploiting":[132],"raw":[133],"data":[135,166],"enriched":[136],"contextual":[138],"features":[139],"efficient":[143],"model":[145],"learned":[148],"during":[149],"generalization":[153],"capabilities":[154],"cases.":[157],"We":[158],"show":[159],"several":[160],"experimental":[161],"results":[162],"real":[164],"Spanish":[169],"FIR":[170],"confirms":[172],"effectiveness":[174],"our":[176],"approach":[177],"automatically":[179],"predicting":[180],"trajectories.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}