{"id":"https://openalex.org/W4296426134","doi":"https://doi.org/10.1109/cog51982.2022.9893654","title":"Improving DNN-based 2048 Players with Global Embedding","display_name":"Improving DNN-based 2048 Players with Global Embedding","publication_year":2022,"publication_date":"2022-08-21","ids":{"openalex":"https://openalex.org/W4296426134","doi":"https://doi.org/10.1109/cog51982.2022.9893654"},"language":"en","primary_location":{"id":"doi:10.1109/cog51982.2022.9893654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cog51982.2022.9893654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Conference on Games (CoG)","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/A5004301337","display_name":"Wang Wei-kai","orcid":null},"institutions":[{"id":"https://openalex.org/I35568498","display_name":"Kochi University of Technology","ror":"https://ror.org/00rghrr56","country_code":"JP","type":"education","lineage":["https://openalex.org/I35568498"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Wang Weikai","raw_affiliation_strings":["Kochi University of Technology,Graduate School of Engineering,Kami,Japan","Graduate School of Engineering, Kochi University of Technology, Kami, Japan"],"affiliations":[{"raw_affiliation_string":"Kochi University of Technology,Graduate School of Engineering,Kami,Japan","institution_ids":["https://openalex.org/I35568498"]},{"raw_affiliation_string":"Graduate School of Engineering, Kochi University of Technology, Kami, Japan","institution_ids":["https://openalex.org/I35568498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081111196","display_name":"Kiminori Matsuzaki","orcid":"https://orcid.org/0009-0003-4663-3292"},"institutions":[{"id":"https://openalex.org/I35568498","display_name":"Kochi University of Technology","ror":"https://ror.org/00rghrr56","country_code":"JP","type":"education","lineage":["https://openalex.org/I35568498"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Matsuzaki Kiminori","raw_affiliation_strings":["Kochi University of Technology,School of Information,Kami,Japan","School of Information, Kochi University of Technology, Kami, Japan"],"affiliations":[{"raw_affiliation_string":"Kochi University of Technology,School of Information,Kami,Japan","institution_ids":["https://openalex.org/I35568498"]},{"raw_affiliation_string":"School of Information, Kochi University of Technology, Kami, Japan","institution_ids":["https://openalex.org/I35568498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004301337"],"corresponding_institution_ids":["https://openalex.org/I35568498"],"apc_list":null,"apc_paid":null,"fwci":0.2759,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62911099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"628","last_page":"631"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9993000030517578,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9993000030517578,"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/T10731","display_name":"Educational Games and Gamification","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.833336353302002},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.7902451753616333},{"id":"https://openalex.org/keywords/tile","display_name":"Tile","score":0.7651833891868591},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7342069745063782},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7136518955230713},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4647029936313629},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46401605010032654},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35974517464637756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2938600480556488},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27034494280815125},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11240726709365845}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.833336353302002},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.7902451753616333},{"id":"https://openalex.org/C2780728851","wikidata":"https://www.wikidata.org/wiki/Q468402","display_name":"Tile","level":2,"score":0.7651833891868591},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7342069745063782},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7136518955230713},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4647029936313629},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46401605010032654},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35974517464637756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2938600480556488},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27034494280815125},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11240726709365845},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cog51982.2022.9893654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cog51982.2022.9893654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Conference on Games (CoG)","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":10,"referenced_works":["https://openalex.org/W2574978968","https://openalex.org/W2766447205","https://openalex.org/W2772709170","https://openalex.org/W2982316857","https://openalex.org/W3152764798","https://openalex.org/W3217084624","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6746177919","https://openalex.org/W6891868423"],"related_works":["https://openalex.org/W2114959296","https://openalex.org/W38346124","https://openalex.org/W2502442966","https://openalex.org/W2138666621","https://openalex.org/W2383936314","https://openalex.org/W1992771654","https://openalex.org/W2022661278","https://openalex.org/W2777914781","https://openalex.org/W4246369972","https://openalex.org/W4244869112"],"abstract_inverted_index":{"2048":[0,17,45,53],"is":[1],"a":[2,48,52,93,111],"popular":[3],"game":[4],"for":[5],"which":[6],"plenty":[7],"of":[8,41,70],"computer":[9],"players":[10,46],"have":[11],"been":[12],"created.":[13],"However,":[14],"many":[15],"created":[16],"players,":[18],"especially":[19],"all":[20,72],"DNN-based":[21,44],"ones,":[22],"only":[23],"implicitly":[24],"use":[25],"tile":[26,32,58,61,73],"values":[27,59,74],"as":[28,47,63],"inputs":[29],"and":[30,50,60,75,96,128],"access":[31],"position":[33],"information.":[34],"In":[35],"this":[36],"study,":[37],"we":[38,66,78],"take":[39],"one":[40],"the":[42,68,82,99,104,121],"best":[43,100,115],"baseline":[49,105,122],"propose":[51],"player":[54,124],"directly":[55],"using":[56],"both":[57,126],"positions":[62,76],"inputs.":[64,86],"Additionally,":[65],"explore":[67],"possibility":[69],"embedding":[71],"that":[77],"then":[79,97],"concatenate":[80],"with":[81,103],"network's":[83],"regular":[84],"value":[85],"We":[87],"first":[88],"train":[89],"these":[90],"variations":[91],"in":[92,110,125],"short":[94,127],"session":[95],"select":[98],"two":[101,116],"models":[102],"to":[106],"be":[107],"further":[108],"trained":[109],"long":[112,129],"session.":[113],"Our":[114],"methods":[117],"performed":[118],"better":[119],"than":[120],"DNN":[123],"training":[130],"sessions.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
