{"id":"https://openalex.org/W4328007662","doi":"https://doi.org/10.1109/tg.2023.3259724","title":"The Fittest Wins: A Multistage Framework Achieving New SOTA in <i>ViZDoom</i> Competition","display_name":"The Fittest Wins: A Multistage Framework Achieving New SOTA in <i>ViZDoom</i> Competition","publication_year":2023,"publication_date":"2023-03-20","ids":{"openalex":"https://openalex.org/W4328007662","doi":"https://doi.org/10.1109/tg.2023.3259724"},"language":"en","primary_location":{"id":"doi:10.1109/tg.2023.3259724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tg.2023.3259724","pdf_url":null,"source":{"id":"https://openalex.org/S4210224842","display_name":"IEEE Transactions on Games","issn_l":"2475-1502","issn":["2475-1502","2475-1510"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Games","raw_type":"journal-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/A5102994966","display_name":"Shuxing Li","orcid":"https://orcid.org/0000-0002-0252-8250"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuxing Li","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108841137","display_name":"Jiawei Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Xu","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022753479","display_name":"Honghua Dong","orcid":"https://orcid.org/0009-0006-8298-4059"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Honghua Dong","raw_affiliation_strings":["Department of Computer Science, University of Toronto, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055450066","display_name":"Yang Yu","orcid":"https://orcid.org/0000-0003-1591-983X"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Yang","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101456902","display_name":"Chun Yuan","orcid":"https://orcid.org/0000-0002-3590-6676"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Yuan","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101404135","display_name":"Peng Sun","orcid":"https://orcid.org/0000-0002-8187-9736"},"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":"Peng Sun","raw_affiliation_strings":["Tencent Robotics X, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Robotics X, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101540919","display_name":"Lei Han","orcid":"https://orcid.org/0000-0003-1404-2415"},"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":"Lei Han","raw_affiliation_strings":["Tencent Robotics X, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Robotics X, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5102994966"],"corresponding_institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.0509,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80330045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"16","issue":"1","first_page":"225","last_page":"234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9990000128746033,"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":0.9990000128746033,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9968000054359436,"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/T11674","display_name":"Sports Analytics and Performance","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hindsight-bias","display_name":"Hindsight bias","score":0.7461371421813965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6827571988105774},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6649494171142578},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6054370999336243},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5824931263923645},{"id":"https://openalex.org/keywords/league","display_name":"League","score":0.5809968709945679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5602869391441345},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.5190292596817017},{"id":"https://openalex.org/keywords/survival-of-the-fittest","display_name":"Survival of the fittest","score":0.4422389268875122},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4409109652042389},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07033765316009521}],"concepts":[{"id":"https://openalex.org/C10347200","wikidata":"https://www.wikidata.org/wiki/Q1960297","display_name":"Hindsight bias","level":2,"score":0.7461371421813965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6827571988105774},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6649494171142578},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6054370999336243},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5824931263923645},{"id":"https://openalex.org/C207456731","wikidata":"https://www.wikidata.org/wiki/Q660818","display_name":"League","level":2,"score":0.5809968709945679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5602869391441345},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.5190292596817017},{"id":"https://openalex.org/C22614528","wikidata":"https://www.wikidata.org/wiki/Q721322","display_name":"Survival of the fittest","level":2,"score":0.4422389268875122},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4409109652042389},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07033765316009521},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tg.2023.3259724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tg.2023.3259724","pdf_url":null,"source":{"id":"https://openalex.org/S4210224842","display_name":"IEEE Transactions on Games","issn_l":"2475-1502","issn":["2475-1502","2475-1510"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Games","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6899999976158142,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1614862348","https://openalex.org/W2064675550","https://openalex.org/W2145339207","https://openalex.org/W2150468603","https://openalex.org/W2158782408","https://openalex.org/W2187089797","https://openalex.org/W2736601468","https://openalex.org/W2810602713","https://openalex.org/W2902907165","https://openalex.org/W2937081431","https://openalex.org/W2962991582","https://openalex.org/W2963871073","https://openalex.org/W2963948533","https://openalex.org/W2965908679","https://openalex.org/W2974927186","https://openalex.org/W2982316857","https://openalex.org/W3099518626","https://openalex.org/W3133768154","https://openalex.org/W3187939394","https://openalex.org/W3194234892","https://openalex.org/W4300799055","https://openalex.org/W6638018090","https://openalex.org/W6692846177","https://openalex.org/W6732837357","https://openalex.org/W6740801417","https://openalex.org/W6741002519","https://openalex.org/W6743660412","https://openalex.org/W6748839928","https://openalex.org/W6750000041","https://openalex.org/W6767919266","https://openalex.org/W6769035977","https://openalex.org/W6780559895","https://openalex.org/W6922480057"],"related_works":["https://openalex.org/W3197854638","https://openalex.org/W3140454661","https://openalex.org/W4245029315","https://openalex.org/W2139970489","https://openalex.org/W1492315459","https://openalex.org/W1512434910","https://openalex.org/W2540910169","https://openalex.org/W3089780453","https://openalex.org/W3148904318","https://openalex.org/W3012552522"],"abstract_inverted_index":{"This":[0],"article":[1],"offers":[2],"an":[3],"integrated":[4],"solution":[5],"for":[6,153],"first-person":[7],"shooter":[8],"(FPS)":[9],"games":[10],"to":[11,71,119,141],"train":[12],"agents":[13,104],"with":[14,40],"adaptive":[15,26,35,86],"strategies.":[16,27,87],"Solving":[17],"such":[18,43],"complex":[19],"decision":[20],"tasks":[21],"requires":[22],"generalization":[23],"ability":[24],"and":[25,52,83,117,131,136,150],"We":[28,113],"develop":[29],"a":[30,33,58,65,79,110],"framework":[31],"using":[32],"novel":[34],"strategic":[36],"control":[37],"algorithm":[38],"combined":[39],"advanced":[41],"techniques,":[42],"as":[44],"the":[45,91,121,128,134],"hindsight":[46],"experience":[47],"replay,":[48],"multiagent":[49],"reinforcement":[50],"learning,":[51],"league":[53,80],"training.":[54],"The":[55],"approach":[56],"adopts":[57],"multistage":[59],"learning":[60,64,85],"scheme,":[61],"consisting":[62],"of":[63,81,123],"goal-conditioned":[66],"navigation":[67],"policy,":[68],"then":[69],"transferring":[70],"learn":[72],"sophisticated":[73],"shooting":[74],"skills":[75],"by":[76,109],"playing":[77],"against":[78],"players,":[82],"finally":[84],"Our":[88],"agent":[89,129],"achieves":[90],"SOTA":[92],"result":[93],"in":[94,126,145],"past":[95],"<italic":[96,146],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[97,147],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">ViZDoom</i>":[98,148],"AI":[99],"Competitions,":[100],"surpassing":[101],"previous":[102],"top-ranked":[103],"(never":[105],"seen":[106],"during":[107],"training)":[108],"large":[111],"margin.":[112],"provide":[114],"comprehensive":[115],"analysis":[116],"experiments":[118],"elaborate":[120],"effect":[122],"each":[124],"component":[125],"affecting":[127],"performance":[130,144],"demonstrate":[132],"that":[133],"proposed":[135],"adopted":[137],"techniques":[138],"are":[139],"essential":[140],"achieve":[142],"superior":[143],"Competition":[149],"potentially":[151],"valuable":[152],"general":[154],"end-to-end":[155],"FPS":[156],"games.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}