{"id":"https://openalex.org/W2947761418","doi":"https://doi.org/10.1109/cig.2019.8848103","title":"<sub>1</sub>GBDT, LR &amp; Deep Learning for Turn-based Strategy Game AI","display_name":"<sub>1</sub>GBDT, LR &amp; Deep Learning for Turn-based Strategy Game AI","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2947761418","doi":"https://doi.org/10.1109/cig.2019.8848103","mag":"2947761418"},"language":"en","primary_location":{"id":"doi:10.1109/cig.2019.8848103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2019.8848103","pdf_url":null,"source":{"id":"https://openalex.org/S4306498491","display_name":"2019 IEEE Conference on Games (CoG)","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":"2019 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/A5101428289","display_name":"Like Zhang","orcid":"https://orcid.org/0000-0002-0570-2963"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Like Zhang","raw_affiliation_strings":["Turing Lab Tencent Inc"],"affiliations":[{"raw_affiliation_string":"Turing Lab Tencent Inc","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025216880","display_name":"Pan Hui","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Pan","raw_affiliation_strings":["Turing Lab Tencent Inc"],"affiliations":[{"raw_affiliation_string":"Turing Lab Tencent Inc","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101543918","display_name":"Qi Fan","orcid":"https://orcid.org/0000-0002-2644-4457"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Fan","raw_affiliation_strings":["Turing Lab Tencent Inc"],"affiliations":[{"raw_affiliation_string":"Turing Lab Tencent Inc","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050578607","display_name":"Changqing Ai","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changqing Ai","raw_affiliation_strings":["Turing Lab Tencent Inc"],"affiliations":[{"raw_affiliation_string":"Turing Lab Tencent Inc","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078008231","display_name":"Yanqing Jing","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanqing Jing","raw_affiliation_strings":["Turing Lab Tencent Inc"],"affiliations":[{"raw_affiliation_string":"Turing Lab Tencent Inc","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101428289"],"corresponding_institution_ids":["https://openalex.org/I2250653659"],"apc_list":null,"apc_paid":null,"fwci":0.3936,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66409597,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9951000213623047,"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/T10028","display_name":"Topic Modeling","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/computer-science","display_name":"Computer science","score":0.7338628768920898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6989560723304749},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.565940260887146},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.493021696805954},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.48334524035453796},{"id":"https://openalex.org/keywords/educational-game","display_name":"Educational game","score":0.48227670788764954},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47787442803382874},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4663372039794922},{"id":"https://openalex.org/keywords/memorization","display_name":"Memorization","score":0.449226975440979},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4329954981803894},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4299124479293823},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09371060132980347}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7338628768920898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6989560723304749},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.565940260887146},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.493021696805954},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.48334524035453796},{"id":"https://openalex.org/C2984404570","wikidata":"https://www.wikidata.org/wiki/Q1140363","display_name":"Educational game","level":2,"score":0.48227670788764954},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47787442803382874},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4663372039794922},{"id":"https://openalex.org/C30038468","wikidata":"https://www.wikidata.org/wiki/Q4354775","display_name":"Memorization","level":2,"score":0.449226975440979},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4329954981803894},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4299124479293823},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09371060132980347},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.0},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cig.2019.8848103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2019.8848103","pdf_url":null,"source":{"id":"https://openalex.org/S4306498491","display_name":"2019 IEEE Conference on Games (CoG)","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":"2019 IEEE Conference on Games (CoG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W592963477","https://openalex.org/W1646707810","https://openalex.org/W1836465849","https://openalex.org/W1991883237","https://openalex.org/W2000493066","https://openalex.org/W2076618162","https://openalex.org/W2103496339","https://openalex.org/W2113168737","https://openalex.org/W2146502635","https://openalex.org/W2150468603","https://openalex.org/W2153367522","https://openalex.org/W2279550690","https://openalex.org/W2342662072","https://openalex.org/W2464785945","https://openalex.org/W2475334473","https://openalex.org/W2512971201","https://openalex.org/W2564987128","https://openalex.org/W2567165815","https://openalex.org/W2740731087","https://openalex.org/W2749807327","https://openalex.org/W2896556344","https://openalex.org/W2949117887","https://openalex.org/W2963641140","https://openalex.org/W3103780890","https://openalex.org/W4242989628","https://openalex.org/W4285719527","https://openalex.org/W4294170691","https://openalex.org/W4298857966","https://openalex.org/W6637967152","https://openalex.org/W6638667902","https://openalex.org/W6675590014","https://openalex.org/W6681435938","https://openalex.org/W6682555068","https://openalex.org/W6682691769","https://openalex.org/W6704571135","https://openalex.org/W6719736774","https://openalex.org/W6741642434","https://openalex.org/W6743756900","https://openalex.org/W7011821996"],"related_works":["https://openalex.org/W3163481960","https://openalex.org/W3093895509","https://openalex.org/W2323394100","https://openalex.org/W280704926","https://openalex.org/W2476068070","https://openalex.org/W4323971310","https://openalex.org/W2893372175","https://openalex.org/W1972827106","https://openalex.org/W4283526844","https://openalex.org/W3214088097"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"AI":[4,25,123,136],"fighting":[5,13,124],"strategies":[6,137],"generation":[7],"approach":[8,37,99],"implemented":[9],"in":[10,156],"the":[11,28,34,39,61,98,101,113,122,153,157,167,173,178,187,194],"turn-based":[12,202],"game":[14],"StoneAge":[15],"2":[16],"(SA2).":[17],"Our":[18],"research":[19],"aim":[20],"is":[21,97,184],"to":[22,33,59,144],"develop":[23],"such":[24],"for":[26,121],"choosing":[27],"logical":[29],"skills":[30,165],"and":[31,44,110,192],"targets":[32],"player.":[35],"The":[36,91,149],"trained":[38],"logistical":[40],"regression":[41],"(LR)":[42],"model":[43,132],"deep":[45],"neural":[46],"networks":[47],"(DNN)":[48],"model,":[49],"individually.":[50],"And":[51],"combined":[52],"both":[53],"output":[54],"at":[55],"inference":[56],"process.":[57],"Meanwhile,":[58],"transform":[60],"features":[62,81],"into":[63,82],"a":[64,146,171,199],"higher":[65,185],"dimension":[66],"binary":[67],"vector":[68],"without":[69],"any":[70,74],"manual":[71],"intervention":[72],"or":[73],"prior":[75],"knowledge,":[76],"we":[77,129,190],"put":[78],"all":[79],"category":[80],"Gradient":[83],"Boosted":[84],"Decision":[85],"Tree":[86],"(GBDT)":[87],"before":[88],"LR":[89,104],"component.":[90],"main":[92],"advantage":[93],"of":[94,103,107,161,181],"this":[95],"procedure":[96],"combines":[100],"benefits":[102],"models":[105],"(memorization":[106],"feature":[108,115],"interactions)":[109],"DL":[111],"(generation":[112],"unseen":[114],"combination":[116],"through":[117],"low-dimensional":[118],"dense":[119],"feature)":[120],"system.":[125],"In":[126],"our":[127,131,182],"experiment,":[128,158],"evaluated":[130,193],"with":[133,177],"some":[134],"other":[135],"(Reinforcement":[138],"Learning":[139],"(RL),":[140],"GBDT,":[141],"LR,":[142],"DNN)":[143],"against":[145],"robot":[147,179],"script.":[148],"results":[150],"shown":[151],"that":[152],"players,":[154],"participating":[155],"are":[159],"capable":[160],"using":[162],"reasonable":[163],"strategic":[164],"on":[166,196],"different":[168],"targets.":[169],"As":[170],"consequence,":[172],"win":[174],"rate":[175],"(versus":[176],"script)":[180],"system":[183,195],"than":[186],"others.":[188],"Finally,":[189],"productionized":[191],"SA":[197],"2,":[198],"commercial":[200],"mobile":[201],"game.":[203]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}
