{"id":"https://openalex.org/W4206290299","doi":"https://doi.org/10.1109/cog52621.2021.9619063","title":"Contextual Combinatorial Bandits in Real-Time Strategy Games","display_name":"Contextual Combinatorial Bandits in Real-Time Strategy Games","publication_year":2021,"publication_date":"2021-08-17","ids":{"openalex":"https://openalex.org/W4206290299","doi":"https://doi.org/10.1109/cog52621.2021.9619063"},"language":"en","primary_location":{"id":"doi:10.1109/cog52621.2021.9619063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cog52621.2021.9619063","pdf_url":null,"source":{"id":"https://openalex.org/S4363608335","display_name":"2021 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":"2021 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/A5019287525","display_name":"Zuozhi Yang","orcid":"https://orcid.org/0000-0002-2893-0010"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zuozhi Yang","raw_affiliation_strings":["Drexel University,Philadelphia,USA","Drexel University, Philadelphia, USA"],"affiliations":[{"raw_affiliation_string":"Drexel University,Philadelphia,USA","institution_ids":["https://openalex.org/I72816309"]},{"raw_affiliation_string":"Drexel University, Philadelphia, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038686010","display_name":"Santiago Onta\u00f1\u00f3n","orcid":"https://orcid.org/0000-0002-9616-2981"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Santiago Ontanon","raw_affiliation_strings":["Drexel University,Philadelphia,USA","Drexel University, Philadelphia, USA"],"affiliations":[{"raw_affiliation_string":"Drexel University,Philadelphia,USA","institution_ids":["https://openalex.org/I72816309"]},{"raw_affiliation_string":"Drexel University, Philadelphia, USA","institution_ids":["https://openalex.org/I72816309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019287525"],"corresponding_institution_ids":["https://openalex.org/I72816309"],"apc_list":null,"apc_paid":null,"fwci":0.3047,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5143472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9937000274658203,"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":0.992900013923645,"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":0.6816228628158569},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36181676387786865}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6816228628158569},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36181676387786865}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cog52621.2021.9619063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cog52621.2021.9619063","pdf_url":null,"source":{"id":"https://openalex.org/S4363608335","display_name":"2021 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":"2021 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":26,"referenced_works":["https://openalex.org/W1570963478","https://openalex.org/W1998498767","https://openalex.org/W2020254732","https://openalex.org/W2049934117","https://openalex.org/W2077902449","https://openalex.org/W2093562354","https://openalex.org/W2103715332","https://openalex.org/W2112420033","https://openalex.org/W2150823748","https://openalex.org/W2153170359","https://openalex.org/W2187089797","https://openalex.org/W2238973924","https://openalex.org/W2402710308","https://openalex.org/W2519411794","https://openalex.org/W2602425879","https://openalex.org/W2788991205","https://openalex.org/W2890020788","https://openalex.org/W3088725440","https://openalex.org/W4299335686","https://openalex.org/W4312309732","https://openalex.org/W6675657435","https://openalex.org/W6682735415","https://openalex.org/W6713258945","https://openalex.org/W6726651112","https://openalex.org/W6748334153","https://openalex.org/W6754434200"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"The":[0],"contextual":[1,77,89,95],"bandit":[2,50,71],"problem":[3,51,72,124],"is":[4,81],"a":[5,47,62,82,135],"richer":[6],"framework":[7],"than":[8],"stochastic":[9],"bandits":[10,45,91,97],"that":[11],"has":[12,20,61],"many":[13,41],"applications":[14],"since":[15],"it":[16,133],"allows":[17],"the":[18,33,37,53,70,123],"learner":[19],"access":[21],"to":[22,58,98,107],"additional":[23,28],"information":[24,29,78],"(the":[25],"\u201ccontext\u201d).":[26],"This":[27],"can":[30],"help":[31],"predict":[32],"expected":[34],"utility":[35],"of":[36,49,55,113,125],"different":[38,105,111],"arms":[39,57],"in":[40],"cases.":[42],"Moreover,":[43],"combinatorial":[44,63,83,90,96],"are":[46],"class":[48],"where":[52,73],"space":[54],"possible":[56],"choose":[59],"from":[60],"structure.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68,74,87,120],"investigate":[69],"have":[75],"both":[76],"and":[79,103,116,131],"there":[80],"arm":[84],"structure,":[85],"which":[86],"call":[88],"(CCMABs).":[92],"We":[93],"apply":[94],"realtime":[99],"strategy":[100],"(RTS)":[101],"games,":[102],"study":[104],"algorithms":[106],"solve":[108],"CCMABs":[109],"with":[110],"trade-offs":[112],"computational":[114],"efficiency":[115],"learning":[117],"biases.":[118],"Specifically,":[119],"focus":[121],"on":[122],"determining":[126],"map-specific":[127],"game":[128],"playing":[129],"policies,":[130],"formulate":[132],"as":[134],"CCMABs.":[136]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
