{"id":"https://openalex.org/W2975399448","doi":"https://doi.org/10.1109/cig.2019.8848013","title":"Scaling up CCG-Based Plan Recognition via Monte-Carlo Tree Search","display_name":"Scaling up CCG-Based Plan Recognition via Monte-Carlo Tree Search","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2975399448","doi":"https://doi.org/10.1109/cig.2019.8848013","mag":"2975399448"},"language":"en","primary_location":{"id":"doi:10.1109/cig.2019.8848013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2019.8848013","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/A5050806660","display_name":"Pavan Kantharaju","orcid":"https://orcid.org/0000-0002-7599-8499"},"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":"Pavan Kantharaju","raw_affiliation_strings":["College of Computing and Informatics, Drexel University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"College of Computing and Informatics, Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"middle","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":["College of Computing and Informatics, Drexel University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"College of Computing and Informatics, Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091772350","display_name":"Christopher Geib","orcid":null},"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":"Christopher W. Geib","raw_affiliation_strings":["College of Computing and Informatics, Drexel University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"College of Computing and Informatics, Drexel University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050806660"],"corresponding_institution_ids":["https://openalex.org/I72816309"],"apc_list":null,"apc_paid":null,"fwci":0.6559,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76606684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"550","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":0.9991000294685364,"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":0.9991000294685364,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9973999857902527,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9869999885559082,"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/computer-science","display_name":"Computer science","score":0.8391119241714478},{"id":"https://openalex.org/keywords/monte-carlo-tree-search","display_name":"Monte Carlo tree search","score":0.8192650675773621},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.613616943359375},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6093428134918213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5861032605171204},{"id":"https://openalex.org/keywords/combinatory-categorial-grammar","display_name":"Combinatory categorial grammar","score":0.5447609424591064},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5167302489280701},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5040184855461121},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.4843484163284302},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4249309003353119},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.41099151968955994},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.3909253478050232},{"id":"https://openalex.org/keywords/context-free-grammar","display_name":"Context-free grammar","score":0.20972245931625366},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.12839379906654358}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8391119241714478},{"id":"https://openalex.org/C46149586","wikidata":"https://www.wikidata.org/wiki/Q11785332","display_name":"Monte Carlo tree search","level":3,"score":0.8192650675773621},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.613616943359375},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6093428134918213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5861032605171204},{"id":"https://openalex.org/C199837984","wikidata":"https://www.wikidata.org/wiki/Q730974","display_name":"Combinatory categorial grammar","level":5,"score":0.5447609424591064},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5167302489280701},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5040184855461121},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.4843484163284302},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4249309003353119},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.41099151968955994},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.3909253478050232},{"id":"https://openalex.org/C97212296","wikidata":"https://www.wikidata.org/wiki/Q338047","display_name":"Context-free grammar","level":3,"score":0.20972245931625366},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.12839379906654358},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C134083981","wikidata":"https://www.wikidata.org/wiki/Q1754022","display_name":"Tree-adjoining grammar","level":4,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cig.2019.8848013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2019.8848013","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":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W94200858","https://openalex.org/W146333590","https://openalex.org/W166660799","https://openalex.org/W1488284547","https://openalex.org/W1504466744","https://openalex.org/W1530655603","https://openalex.org/W1572384134","https://openalex.org/W1981637451","https://openalex.org/W2031485595","https://openalex.org/W2074025367","https://openalex.org/W2126316555","https://openalex.org/W2126808695","https://openalex.org/W2145094598","https://openalex.org/W2150823748","https://openalex.org/W2209643503","https://openalex.org/W2217569420","https://openalex.org/W2226344442","https://openalex.org/W2257979135","https://openalex.org/W2395562074","https://openalex.org/W2573966546","https://openalex.org/W2766447205","https://openalex.org/W2788750329","https://openalex.org/W2886718549","https://openalex.org/W2903729752","https://openalex.org/W2911969739","https://openalex.org/W2945259913","https://openalex.org/W2951486153","https://openalex.org/W2997574889","https://openalex.org/W6603855062","https://openalex.org/W6606002523","https://openalex.org/W6606689004","https://openalex.org/W6629146158","https://openalex.org/W6630309802","https://openalex.org/W6675897529","https://openalex.org/W6678647333","https://openalex.org/W6681096077","https://openalex.org/W6688305661","https://openalex.org/W6688457582","https://openalex.org/W6712340934","https://openalex.org/W6732201622"],"related_works":["https://openalex.org/W2108227097","https://openalex.org/W178197839","https://openalex.org/W2028114094","https://openalex.org/W2571592646","https://openalex.org/W2953115593","https://openalex.org/W4247855592","https://openalex.org/W2567165815","https://openalex.org/W2740304877","https://openalex.org/W3027519650","https://openalex.org/W2975399448"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3,114],"the":[4,19,101,115],"problem":[5],"of":[6,21,72,103,107],"scaling":[7],"Combinatory":[8],"Categorial":[9],"Grammar":[10],"(CCG)-based":[11],"plan":[12,33,47],"recognition":[13,34,48],"to":[14,31,35,57,95,129],"large":[15,36,85],"CCG":[16,74],"representations":[17,38,81],"in":[18],"context":[20],"Real-Time":[22],"Strategy":[23],"(RTS)":[24],"games.":[25],"Specifically,":[26],"we":[27],"present":[28],"a":[29,92,104],"technique":[30],"scale":[32],"domain":[37,55,75],"using":[39],"Monte-Carlo":[40],"Tree":[41],"Search":[42],"(MCTS).":[43],"CCG-based":[44,136],"planning":[45,52],"and":[46,99],"(like":[49],"other":[50],"domain-configurable":[51],"frameworks)":[53],"require":[54],"definitions":[56,76],"be":[58,83],"either":[59],"manually":[60],"authored":[61],"or":[62],"learned":[63,132],"from":[64,77],"data.":[65],"Prior":[66],"work":[67],"has":[68],"demonstrated":[69],"successful":[70],"learning":[71],"these":[73,80,130],"data,":[78],"but":[79],"can":[82],"very":[84],"for":[86,97],"complex":[87],"application":[88],"domains.":[89],"We":[90,110],"propose":[91],"MCTS-based":[93],"approach":[94,113],"search":[96],"explanations":[98],"predict":[100],"goal":[102],"given":[105],"sequence":[106],"observed":[108],"actions.":[109],"evaluate":[111],"our":[112,125],"RTS":[116],"game":[117],"AI":[118],"testbed":[119],"microRTS.":[120],"Our":[121],"experimental":[122],"results":[123],"show":[124],"method":[126],"scales":[127],"better":[128],"large,":[131],"CCGs":[133],"than":[134],"previous":[135],"approaches.":[137]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
