{"id":"https://openalex.org/W4313495776","doi":"https://doi.org/10.1109/scisisis55246.2022.10002133","title":"Building a Control Method through Verbalizing the Internal Behavior of a Deep Reinforcement Learning Model","display_name":"Building a Control Method through Verbalizing the Internal Behavior of a Deep Reinforcement Learning Model","publication_year":2022,"publication_date":"2022-11-29","ids":{"openalex":"https://openalex.org/W4313495776","doi":"https://doi.org/10.1109/scisisis55246.2022.10002133"},"language":"en","primary_location":{"id":"doi:10.1109/scisisis55246.2022.10002133","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/scisisis55246.2022.10002133","pdf_url":null,"source":{"id":"https://openalex.org/S4363607982","display_name":"2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&amp;ISIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&amp;ISIS)","raw_type":"proceedings-article"},"type":"article","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/A5008149856","display_name":"Ayano Enta","orcid":null},"institutions":[{"id":"https://openalex.org/I26120043","display_name":"Ochanomizu University","ror":"https://ror.org/03599d813","country_code":"JP","type":"education","lineage":["https://openalex.org/I26120043"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ayano Enta","raw_affiliation_strings":["Ochanomizu University,Graduate School of Humanities and Sciences,Tokyo,Japan","Graduate School of Humanities and Sciences, Ochanomizu University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ochanomizu University,Graduate School of Humanities and Sciences,Tokyo,Japan","institution_ids":["https://openalex.org/I26120043"]},{"raw_affiliation_string":"Graduate School of Humanities and Sciences, Ochanomizu University, Tokyo, Japan","institution_ids":["https://openalex.org/I26120043"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089123620","display_name":"Ichiro Kobayashi","orcid":"https://orcid.org/0000-0003-4956-4010"},"institutions":[{"id":"https://openalex.org/I26120043","display_name":"Ochanomizu University","ror":"https://ror.org/03599d813","country_code":"JP","type":"education","lineage":["https://openalex.org/I26120043"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ichiro Kobayashi","raw_affiliation_strings":["Ochanomizu University,Graduate School of Humanities and Sciences,Tokyo,Japan","Graduate School of Humanities and Sciences, Ochanomizu University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ochanomizu University,Graduate School of Humanities and Sciences,Tokyo,Japan","institution_ids":["https://openalex.org/I26120043"]},{"raw_affiliation_string":"Graduate School of Humanities and Sciences, Ochanomizu University, Tokyo, Japan","institution_ids":["https://openalex.org/I26120043"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19008746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"abs 1806 69","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9984999895095825,"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":0.9984999895095825,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","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"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9807999730110168,"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/construct","display_name":"Construct (python library)","score":0.8318120241165161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7206611037254333},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7048539519309998},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6622352600097656},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.6074360013008118},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5727524161338806},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5658543109893799},{"id":"https://openalex.org/keywords/internal-model","display_name":"Internal model","score":0.49805593490600586},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.4812295436859131},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44898703694343567},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.4264620244503021},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13865211606025696}],"concepts":[{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.8318120241165161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7206611037254333},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7048539519309998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6622352600097656},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.6074360013008118},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5727524161338806},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5658543109893799},{"id":"https://openalex.org/C28427503","wikidata":"https://www.wikidata.org/wiki/Q13580300","display_name":"Internal model","level":3,"score":0.49805593490600586},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.4812295436859131},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44898703694343567},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.4264620244503021},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13865211606025696},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/scisisis55246.2022.10002133","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/scisisis55246.2022.10002133","pdf_url":null,"source":{"id":"https://openalex.org/S4363607982","display_name":"2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&amp;ISIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&amp;ISIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2145339207","https://openalex.org/W2283147696","https://openalex.org/W2522925973","https://openalex.org/W2807015674","https://openalex.org/W2891503716","https://openalex.org/W2958992432","https://openalex.org/W6752345201"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W2062212388"],"abstract_inverted_index":{"Due":[0],"to":[1,45,78,90,96,107],"its":[2],"black-box":[3],"nature,":[4],"interpreting":[5],"the":[6,27,64,80,104,122,128,142,155,172,179],"internal":[7,173],"behavior":[8,174],"of":[9,30,63,130,135,157],"a":[10,16,31,68,115],"deep":[11,33],"reinforcement":[12,34],"learning":[13,35],"model":[14,36,65,137],"is":[15,95,106,164,169],"challenging":[17],"task":[18],"for":[19,26],"humans.":[20],"We":[21,86],"therefore":[22],"apply":[23],"fuzzy":[24,42,73,143,162],"modeling":[25],"input-output":[28],"relationships":[29,40],"learned":[32,66,133],"and":[37,76,103,127],"express":[38],"these":[39],"with":[41,72],"linguistic":[43,47,74],"variables":[44],"make":[46],"control":[48,61,79,84,92,98,109,125],"rules.":[49,85,93,131,181],"In":[50],"this":[51,147],"study,":[52],"we":[53,119],"use":[54,87],"CartPole":[55,81,136,159],"as":[56],"an":[57],"experiment":[58],"subject;":[59],"explain":[60],"rules":[62,99,110],"by":[67,160],"Deep":[69],"Q-Network":[70],"(DQN)":[71],"variables;":[75],"attempt":[77],"using":[82],"those":[83],"two":[88],"approaches":[89],"construct":[91,97,108],"One":[94],"from":[100,111],"input":[101],"data":[102],"other":[105],"output":[112],"data.":[113],"As":[114],"result,":[116],"through":[117,178],"experiments,":[118],"have":[120],"confirmed":[121],"trade-off":[123],"between":[124],"performance":[126],"number":[129],"The":[132],"DQN":[134],"stands":[138],"200":[139],"steps,":[140],"whereas":[141],"controllers":[144,163],"constructed":[145,161],"in":[146],"study":[148],"stand":[149],"171.9":[150],"steps":[151],"on":[152],"average.":[153],"Though":[154],"accuracy":[156],"controling":[158],"lower":[165],"than":[166],"DQN,":[167],"it":[168],"good":[170],"that":[171],"can":[175],"be":[176],"understood":[177],"constucted":[180]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
