{"id":"https://openalex.org/W2604712483","doi":"https://doi.org/10.1609/aaai.v31i1.11028","title":"An Analysis of Monte Carlo Tree Search","display_name":"An Analysis of Monte Carlo Tree Search","publication_year":2017,"publication_date":"2017-02-12","ids":{"openalex":"https://openalex.org/W2604712483","doi":"https://doi.org/10.1609/aaai.v31i1.11028","mag":"2604712483"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v31i1.11028","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/11028/10887","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/11028/10887","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078861770","display_name":"Steven James","orcid":"https://orcid.org/0000-0003-4366-4125"},"institutions":[{"id":"https://openalex.org/I192619145","display_name":"University of the Witwatersrand","ror":"https://ror.org/03rp50x72","country_code":"ZA","type":"funder","lineage":["https://openalex.org/I192619145"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Steven James","raw_affiliation_strings":["University of the Witwatersrand"],"affiliations":[{"raw_affiliation_string":"University of the Witwatersrand","institution_ids":["https://openalex.org/I192619145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078124517","display_name":"George Konidaris","orcid":"https://orcid.org/0000-0002-4460-2519"},"institutions":[{"id":"https://openalex.org/I175594653","display_name":"John Brown University","ror":"https://ror.org/02ct41q97","country_code":"US","type":"education","lineage":["https://openalex.org/I175594653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Konidaris","raw_affiliation_strings":["Brown University"],"affiliations":[{"raw_affiliation_string":"Brown University","institution_ids":["https://openalex.org/I175594653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068297734","display_name":"Benjamin Rosman","orcid":"https://orcid.org/0000-0002-0284-4114"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Benjamin Rosman","raw_affiliation_strings":["Council for Scientific and Industrial Research"],"affiliations":[{"raw_affiliation_string":"Council for Scientific and Industrial Research","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.271,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":43,"citation_normalized_percentile":{"value":0.99989,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"31","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9995,"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":0.9995,"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":0.9957,"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/T11182","display_name":"Auction Theory and Applications","score":0.972,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.50150204},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.44874308}],"concepts":[{"id":"https://openalex.org/C46149586","wikidata":"https://www.wikidata.org/wiki/Q11785332","display_name":"Monte Carlo tree search","level":3,"score":0.7369393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7029916},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6385597},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.50150204},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.44874308},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33492416},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13618356},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.072283894},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v31i1.11028","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/11028/10887","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v31i1.11028","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/11028/10887","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":20,"referenced_works":["https://openalex.org/W1495221665","https://openalex.org/W1625390266","https://openalex.org/W1714211023","https://openalex.org/W1978126279","https://openalex.org/W2020135152","https://openalex.org/W2028145673","https://openalex.org/W2040494309","https://openalex.org/W2075848246","https://openalex.org/W2105066050","https://openalex.org/W2117481033","https://openalex.org/W2121863487","https://openalex.org/W2122659384","https://openalex.org/W2145901173","https://openalex.org/W2149586740","https://openalex.org/W2154291838","https://openalex.org/W2257979135","https://openalex.org/W2321292752","https://openalex.org/W2739039597","https://openalex.org/W4214717370","https://openalex.org/W4238447998"],"related_works":["https://openalex.org/W4247855592","https://openalex.org/W2740304877","https://openalex.org/W2571592646","https://openalex.org/W2567165815","https://openalex.org/W2393022482","https://openalex.org/W2377346130","https://openalex.org/W2361092061","https://openalex.org/W2357314690","https://openalex.org/W2319775965","https://openalex.org/W2191886813"],"abstract_inverted_index":{"Monte":[0],"Carlo":[1],"Tree":[2],"Search":[3],"(MCTS)":[4],"is":[5,47],"a":[6],"family":[7],"of":[8,24,30,57,103,109],"directed":[9],"search":[10],"algorithms":[11],"that":[12,71],"has":[13],"gained":[14],"widespread":[15],"attention":[16],"in":[17,40,44,61,76],"recent":[18],"years.":[19],"Despite":[20],"the":[21,28,33,38,55,94,101],"vast":[22],"amount":[23],"research":[25],"into":[26],"MCTS,":[27],"effect":[29,56],"modifications":[31],"on":[32],"algorithm,":[34],"as":[35,37],"well":[36],"manner":[39],"which":[41,126],"it":[42],"performs":[43],"various":[45],"domains,":[46],"still":[48,63],"not":[49],"yet":[50],"fully":[51],"known.":[52],"In":[53],"particular,":[54],"using":[58],"knowledge-heavy":[59],"rollouts":[60,73,111],"MCTS":[62,104],"remains":[64],"poorly":[65],"understood,":[66],"with":[67],"surprising":[68],"results":[69],"demonstrating":[70],"better-informed":[72],"often":[74],"result":[75],"worse-performing":[77],"agents.":[78],"We":[79,115],"present":[80],"experimental":[81],"evidence":[82],"suggesting":[83],"that,":[84],"under":[85,125],"certain":[86],"smoothness":[87],"conditions,":[88],"uniformly":[89],"random":[90,119],"simulation":[91],"policies":[92,121],"preserve":[93],"ordering":[95],"over":[96],"action":[97],"preferences.":[98],"This":[99],"explains":[100],"success":[102],"despite":[105],"its":[106],"common":[107],"use":[108],"these":[110],"to":[112],"evaluate":[113],"states.":[114],"further":[116],"analyse":[117],"non-uniformly":[118],"rollout":[120],"and":[122],"describe":[123],"conditions":[124],"they":[127],"offer":[128],"improved":[129],"performance.":[130]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2604712483","counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":1}],"updated_date":"2025-04-18T04:56:11.733366","created_date":"2017-04-14"}