{"id":"https://openalex.org/W4380785226","doi":"https://doi.org/10.1109/access.2023.3286729","title":"Value Iteration Networks With Gated Summarization Module","display_name":"Value Iteration Networks With Gated Summarization Module","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4380785226","doi":"https://doi.org/10.1109/access.2023.3286729"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3286729","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3286729","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10153543.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10153543.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102714318","display_name":"Jinyu Cai","orcid":"https://orcid.org/0009-0000-9715-8143"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Jinyu Cai","raw_affiliation_strings":["Faculty of Science and Engineering, Waseda University, Tokyo, Shinjuku, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Engineering, Waseda University, Tokyo, Shinjuku, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104473592","display_name":"Jialong Li","orcid":"https://orcid.org/0000-0003-4327-1807"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jialong Li","raw_affiliation_strings":["Faculty of Science and Engineering, Waseda University, Tokyo, Shinjuku, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Engineering, Waseda University, Tokyo, Shinjuku, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405287","display_name":"Mingyue Zhang","orcid":"https://orcid.org/0000-0002-9769-8833"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyue Zhang","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Beibei District, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Beibei District, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045332896","display_name":"Kenji Tei","orcid":"https://orcid.org/0000-0003-1106-1709"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji Tei","raw_affiliation_strings":["Faculty of Science and Engineering, Waseda University, Tokyo, Shinjuku, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Engineering, Waseda University, Tokyo, Shinjuku, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102714318"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3673,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58692414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"60407","last_page":"60420"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.992900013923645,"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/automatic-summarization","display_name":"Automatic summarization","score":0.886946976184845},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7680186033248901},{"id":"https://openalex.org/keywords/iterative-and-incremental-development","display_name":"Iterative and incremental development","score":0.5231757760047913},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5103945136070251},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5050364136695862},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.48435720801353455},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3531199097633362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2605559229850769},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19487261772155762},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11643552780151367}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.886946976184845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7680186033248901},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.5231757760047913},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5103945136070251},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5050364136695862},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.48435720801353455},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3531199097633362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2605559229850769},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19487261772155762},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11643552780151367},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3286729","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3286729","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10153543.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:602aac8d46a84bee9a8c89bbd43ed410","is_oa":true,"landing_page_url":"https://doaj.org/article/602aac8d46a84bee9a8c89bbd43ed410","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 60407-60420 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3286729","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3286729","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10153543.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G3459562248","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3938381110","display_name":"\u5341\u548c\u7530\u30ab\u30eb\u30c7\u30e9\u5674\u51fa\u7269\u306e\u706b\u5c71\u5c64\u5e8f\u5b66\u7684\u7814\u7a76","funder_award_id":"23005","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5256887504","display_name":null,"funder_award_id":"Japan Society for the Promotion of Science (JSPS)","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5331375425","display_name":"\u52d5\u7684\u8981\u6c42\u99c6\u52d5\u3068\u5f37\u5316\u5b66\u7fd2\u306e\u30cf\u30a4\u30d6\u30ea\u30c3\u30c9\u5b9f\u884c\u6642\u9069\u5fdc\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u306e\u69cb\u7bc9","funder_award_id":"22KJ2935","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6919177833","display_name":null,"funder_award_id":"JP22KJ2935","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7698593203","display_name":null,"funder_award_id":"SWU-KQ23005","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7752643416","display_name":null,"funder_award_id":"Japan","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8951484681","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4380785226.pdf","grobid_xml":"https://content.openalex.org/works/W4380785226.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W51508254","https://openalex.org/W1485009520","https://openalex.org/W1498436455","https://openalex.org/W1899504021","https://openalex.org/W1947481528","https://openalex.org/W1969483458","https://openalex.org/W2064675550","https://openalex.org/W2107878631","https://openalex.org/W2112796928","https://openalex.org/W2116435618","https://openalex.org/W2127141656","https://openalex.org/W2145339207","https://openalex.org/W2154642048","https://openalex.org/W2169528473","https://openalex.org/W2193413348","https://openalex.org/W2402268235","https://openalex.org/W2746553466","https://openalex.org/W2786920641","https://openalex.org/W2896448620","https://openalex.org/W2911695803","https://openalex.org/W2944895446","https://openalex.org/W2951527505","https://openalex.org/W2963180789","https://openalex.org/W2997867291","https://openalex.org/W2998083063","https://openalex.org/W3021208093","https://openalex.org/W3041833837","https://openalex.org/W3118676996","https://openalex.org/W4200235977","https://openalex.org/W4226334005","https://openalex.org/W4379116907","https://openalex.org/W6602057636","https://openalex.org/W6628877408","https://openalex.org/W6677326919","https://openalex.org/W6682137061","https://openalex.org/W6687566353","https://openalex.org/W6692405165","https://openalex.org/W6748173799","https://openalex.org/W6779716342"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4386858688","https://openalex.org/W2982536526","https://openalex.org/W4380302312","https://openalex.org/W3008689640","https://openalex.org/W4385338604","https://openalex.org/W3081626085"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,176],"address":[4],"the":[5,20,54,60,73,97,100,108,112,121,131,136,149,158,181,189],"challenges":[6],"faced":[7],"by":[8,26,126],"Value":[9,34,55],"Iteration":[10,35,51,56],"Networks":[11,36],"(VIN)":[12],"in":[13,53,160,193],"handling":[14],"larger":[15,81],"input":[16,184],"maps":[17],"and":[18,64,91,128,148,168,188,205,211],"mitigating":[19],"impact":[21],"of":[22,62,99,162,180,191,202],"accumulated":[23],"errors":[24],"caused":[25],"increased":[27],"iterations.":[28],"We":[29,139],"propose":[30],"a":[31,67,200],"novel":[32],"approach,":[33],"with":[37,84],"Gated":[38,68],"Summarization":[39,69],"Module":[40],"(GS-VIN),":[41],"which":[42,196],"incorporates":[43],"two":[44],"main":[45],"improvements:":[46],"1)":[47],"employing":[48],"an":[49,178],"Adaptive":[50],"Strategy":[52],"module":[57,70,106],"to":[58,71,110,199],"reduce":[59],"number":[61,190],"iterations;":[63],"2)":[65],"introducing":[66],"summarize":[72],"iterative":[74],"process.":[75,102],"The":[76,103],"adaptive":[77],"iteration":[78,86],"strategy":[79],"uses":[80],"convolution":[82],"kernels":[83],"fewer":[85],"times,":[87],"reducing":[88],"network":[89,109],"depth":[90],"increasing":[92],"training":[93],"stability":[94],"while":[95],"maintaining":[96],"accuracy":[98],"planning":[101,114,124,133,165],"gated":[104],"summarization":[105],"enables":[107],"emphasize":[111],"entire":[113,132],"process,":[115],"rather":[116],"than":[117],"solely":[118],"relying":[119],"on":[120,142],"final":[122],"global":[123],"outcome,":[125],"temporally":[127],"spatially":[129],"resampling":[130],"process":[134],"within":[135],"VI":[137],"module.":[138],"conduct":[140],"experiments":[141],"2D":[143],"grid":[144],"world":[145],"path-finding":[146],"problems":[147],"Atari":[150],"Mr.":[151],"Pac-man":[152],"environment,":[153],"demonstrating":[154],"that":[155],"GS-VIN":[156],"outperforms":[157],"baseline":[159],"terms":[161],"single-step":[163],"accuracy,":[164],"success":[166],"rate,":[167],"overall":[169],"performance":[170],"across":[171],"different":[172],"map":[173],"sizes.":[174],"Additionally,":[175],"provide":[177],"analysis":[179],"relationship":[182],"between":[183],"size,":[185,187],"kernel":[186],"iterations":[192],"VI-based":[194,203],"models,":[195],"is":[197],"applicable":[198],"majority":[201],"models":[204],"offers":[206],"valuable":[207],"insights":[208],"for":[209],"researchers":[210],"industrial":[212],"deployment.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
