{"id":"https://openalex.org/W2982608209","doi":"https://doi.org/10.1109/mhs.2018.8886916","title":"Self-Generation of Reward by Inputs from Multi Sensors -Integration of Evaluations for Inputs to Avoid Danger-","display_name":"Self-Generation of Reward by Inputs from Multi Sensors -Integration of Evaluations for Inputs to Avoid Danger-","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2982608209","doi":"https://doi.org/10.1109/mhs.2018.8886916","mag":"2982608209"},"language":"en","primary_location":{"id":"doi:10.1109/mhs.2018.8886916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mhs.2018.8886916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Symposium on Micro-NanoMechatronics and Human Science (MHS)","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/A5011221544","display_name":"Masaya Ishizuka","orcid":null},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masaya Ishizuka","raw_affiliation_strings":["Muroran Institute of Technology, Muroran, Japan"],"affiliations":[{"raw_affiliation_string":"Muroran Institute of Technology, Muroran, Japan","institution_ids":["https://openalex.org/I41725924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067555059","display_name":"Kentarou Kurashige","orcid":"https://orcid.org/0000-0001-9364-1269"},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kentarou Kurashige","raw_affiliation_strings":["Muroran Institute of Technology, Muroran, Japan"],"affiliations":[{"raw_affiliation_string":"Muroran Institute of Technology, Muroran, Japan","institution_ids":["https://openalex.org/I41725924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011221544"],"corresponding_institution_ids":["https://openalex.org/I41725924"],"apc_list":null,"apc_paid":null,"fwci":0.3303,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60452165,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7244739532470703},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6354678869247437},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6059158444404602},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5739815831184387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48301777243614197},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3601808547973633}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7244739532470703},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6354678869247437},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6059158444404602},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5739815831184387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48301777243614197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3601808547973633},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mhs.2018.8886916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mhs.2018.8886916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Symposium on Micro-NanoMechatronics and Human Science (MHS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2083238230","https://openalex.org/W2515948165","https://openalex.org/W2662405909","https://openalex.org/W2914656440","https://openalex.org/W2977122446","https://openalex.org/W4211036648","https://openalex.org/W4242627233"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"We":[0],"proposed":[1],"a":[2,6,13,16,22,31,58,69,73,96,118,123,140,149],"method":[3,29,43,70,87,115,132,147],"which":[4,71,108],"generates":[5,72,95,139],"reward":[7,14,32,74,120,141],"from":[8,80,91],"sensor":[9,82,89],"inputs":[10,63,79,90,137],"without":[11],"setting":[12],"when":[15],"robot":[17,124,150],"does":[18],"reinforcement":[19],"learning":[20],"in":[21,83],"complex":[23],"environment.":[24,113,130,173],"In":[25],"previous":[26,42,55],"research,":[27],"this":[28,84],"generated":[30],"by":[33,64,168],"weighted":[34],"average":[35],"of":[36,60,111],"evaluations":[37],"for":[38],"each":[39],"sensor.":[40],"But":[41],"could":[44],"ignore":[45],"some":[46],"small":[47],"evaluations.":[48],"Small":[49],"evaluation":[50],"means":[51],"danger":[52,62,77,136,167],"inputs.":[53],"So,":[54],"research":[56],"had":[57],"problem":[59],"ignoring":[61],"average.":[65],"Therefore,":[66,145],"we":[67,101,156],"propose":[68],"to":[75,142,153,165],"avoid":[76,143,166],"using":[78,171],"multiple":[81],"research.":[85],"This":[86,114],"evaluates":[88],"an":[92,112,126,129,159,163,169],"environment":[93],"and":[94,121,138],"reward.":[97],"To":[98],"evaluate":[99],"inputs,":[100],"define":[102],"the":[103],"indicator":[104],"based":[105],"on":[106,135],"organisms":[107],"is":[109],"independent":[110],"can":[116,161],"generate":[117],"suitable":[119],"make":[122],"learn":[125,162],"action":[127,164],"independently":[128],"Proposal":[131],"places":[133],"importance":[134],"danger.":[144],"proposal":[146],"makes":[148],"be":[151],"able":[152],"survive.":[154],"Then,":[155],"confirm":[157],"that":[158],"agent":[160],"experiment":[170],"simulation":[172]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}