{"id":"https://openalex.org/W3035603778","doi":"https://doi.org/10.1109/icme46284.2020.9102966","title":"Leveraging Deep Reinforcement Learning For Active Shooting Under Open-World Setting","display_name":"Leveraging Deep Reinforcement Learning For Active Shooting Under Open-World Setting","publication_year":2020,"publication_date":"2020-06-09","ids":{"openalex":"https://openalex.org/W3035603778","doi":"https://doi.org/10.1109/icme46284.2020.9102966","mag":"3035603778"},"language":"en","primary_location":{"id":"doi:10.1109/icme46284.2020.9102966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-03265183","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039802273","display_name":"A. Tzimas","orcid":null},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"A. Tzimas","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Greece","Aristotle University of Thessaloniki (University Campus, 54124 Thessaloniki, Greece - Greece)"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Aristotle University of Thessaloniki (University Campus, 54124 Thessaloniki, Greece - Greece)","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061050264","display_name":"Nikolaos Passalis","orcid":"https://orcid.org/0000-0003-1177-9139"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"N. Passalis","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Greece","Aristotle University of Thessaloniki (University Campus, 54124 Thessaloniki, Greece - Greece)"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Aristotle University of Thessaloniki (University Campus, 54124 Thessaloniki, Greece - Greece)","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041054091","display_name":"Anastasios Tefas","orcid":"https://orcid.org/0000-0003-1288-3667"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"A. Tefas","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Greece","Aristotle University of Thessaloniki (University Campus, 54124 Thessaloniki, Greece - Greece)"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Aristotle University of Thessaloniki (University Campus, 54124 Thessaloniki, Greece - Greece)","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039802273"],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":null,"apc_paid":null,"fwci":0.8133,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73630379,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":"99","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9864000082015991,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9858999848365784,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8421016335487366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.798888087272644},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.7223140001296997},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49530377984046936},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4515508711338043},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.440743088722229},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3886663019657135}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8421016335487366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.798888087272644},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.7223140001296997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49530377984046936},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4515508711338043},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.440743088722229},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3886663019657135},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme46284.2020.9102966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03265183v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03265183","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"2020 IEEE International Conference on Multimedia and Expo (ICME), Jul 2020, London (virtual), United Kingdom. pp.1-6, &#x27E8;10.1109/ICME46284.2020.9102966&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03265183v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03265183","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"2020 IEEE International Conference on Multimedia and Expo (ICME), Jul 2020, London (virtual), United Kingdom. pp.1-6, &#x27E8;10.1109/ICME46284.2020.9102966&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1777239053","https://openalex.org/W1923344279","https://openalex.org/W2118097920","https://openalex.org/W2145339207","https://openalex.org/W2155968351","https://openalex.org/W2156387975","https://openalex.org/W2173564293","https://openalex.org/W2201581102","https://openalex.org/W2529905061","https://openalex.org/W2583993537","https://openalex.org/W2615547864","https://openalex.org/W2623885517","https://openalex.org/W2736730865","https://openalex.org/W2740520864","https://openalex.org/W2746553466","https://openalex.org/W2801444081","https://openalex.org/W2913281951","https://openalex.org/W2951799221","https://openalex.org/W2954111275","https://openalex.org/W2963037989","https://openalex.org/W2963110888","https://openalex.org/W2963276406","https://openalex.org/W2963477884","https://openalex.org/W2964121744","https://openalex.org/W2973525135","https://openalex.org/W3100944043","https://openalex.org/W3107460207","https://openalex.org/W6631190155","https://openalex.org/W6638088447","https://openalex.org/W6677907805","https://openalex.org/W6682889407","https://openalex.org/W6685444567","https://openalex.org/W6687681856","https://openalex.org/W6737769214","https://openalex.org/W6737994994","https://openalex.org/W6767919266","https://openalex.org/W6786632726"],"related_works":["https://openalex.org/W2384667405","https://openalex.org/W2389266787","https://openalex.org/W2363885542","https://openalex.org/W2387206255","https://openalex.org/W2355570285","https://openalex.org/W2364958354","https://openalex.org/W2352797113","https://openalex.org/W2372137583","https://openalex.org/W2374872591","https://openalex.org/W1548050717"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,22,105,135],"Deep":[3],"Reinforcement":[4],"Learning":[5],"(DRL)":[6],"led":[7],"to":[8,18,82],"the":[9,35,45,48,62,102,140,152],"development":[10,63],"of":[11,39,47,58,64],"powerful":[12],"agents":[13,78],"that":[14,79,95,139],"can":[15],"learn":[16],"how":[17],"perform":[19],"complicated":[20],"tasks":[21],"an":[23],"end-to-end":[24],"fashion":[25],"operating":[26],"directly":[27],"on":[28,44,98],"raw":[29],"unstructured":[30],"data,":[31],"e.g.,":[32],"images.":[33],"However,":[34],"real":[36],"world":[37],"performance":[38],"such":[40],"methods":[41,121],"critically":[42],"relies":[43],"quality":[46],"simulation":[49,67],"environments":[50],"used":[51],"for":[52,75,86,122],"training":[53,76],"them.":[54],"The":[55],"main":[56],"contribution":[57],"this":[59,106,136],"paper":[60],"is":[61,132],"a":[65,71,84,109,114],"realistic":[66],"environment,":[68],"by":[69],"employing":[70],"state-of-the-art":[72],"graphics":[73],"engine,":[74],"DRL":[77],"are":[80],"able":[81],"control":[83,125],"drone":[85,124],"performing":[87],"active":[88],"shooting.":[89],"In":[90],"contrast":[91],"with":[92],"previous":[93],"approaches,":[94],"solely":[96],"relied":[97],"simplistic":[99],"constrained":[100],"datasets,":[101],"environment":[103],"employed":[104],"work":[107],"supports":[108],"challenging":[110],"open-world":[111],"setting,":[112],"providing":[113],"solid":[115],"step":[116],"towards":[117],"developing":[118],"effective":[119],"RL":[120],"various":[123],"tasks.":[126],"An":[127],"appropriate":[128],"reward":[129],"shaping":[130],"approach":[131],"also":[133],"introduced":[134],"work,":[137],"ensuring":[138],"agent":[141],"will":[142],"behave":[143],"as":[144,149],"expected,":[145],"avoiding":[146],"erratic":[147],"movements,":[148],"demonstrated":[150],"through":[151],"conducted":[153],"experiments.":[154]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
