{"id":"https://openalex.org/W4312458423","doi":"https://doi.org/10.1145/3555858.3555878","title":"Imitating Playstyle with Dynamic Time Warping Imitation","display_name":"Imitating Playstyle with Dynamic Time Warping Imitation","publication_year":2022,"publication_date":"2022-09-05","ids":{"openalex":"https://openalex.org/W4312458423","doi":"https://doi.org/10.1145/3555858.3555878"},"language":"en","primary_location":{"id":"doi:10.1145/3555858.3555878","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3555858.3555878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on the Foundations of Digital Games","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/A5047206830","display_name":"Mark Ferguson","orcid":null},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Mark Ferguson","raw_affiliation_strings":["University of York, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of York, United Kingdom","institution_ids":["https://openalex.org/I52099693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048451922","display_name":"Sam Devlin","orcid":"https://orcid.org/0000-0002-7769-3090"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sam Devlin","raw_affiliation_strings":["Microsoft Research, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, United Kingdom","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009587907","display_name":"Daniel Kudenko\u22c6","orcid":"https://orcid.org/0000-0003-3359-3255"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel Kudenko","raw_affiliation_strings":["Leibniz University, Germany"],"affiliations":[{"raw_affiliation_string":"Leibniz University, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017600718","display_name":"James Alfred Walker","orcid":"https://orcid.org/0000-0003-2174-7173"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"James Alfred Walker","raw_affiliation_strings":["University of York, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of York, United Kingdom","institution_ids":["https://openalex.org/I52099693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047206830"],"corresponding_institution_ids":["https://openalex.org/I52099693"],"apc_list":null,"apc_paid":null,"fwci":0.2652,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62594142,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9980000257492065,"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":0.9980000257492065,"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":0.996999979019165,"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":0.9890000224113464,"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/imitation","display_name":"Imitation","score":0.7785866260528564},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7582008838653564},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7150757312774658},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6444849371910095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5585950613021851},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.513601541519165},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5128872394561768},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.4346925914287567},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4150298833847046},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08349594473838806},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07131358981132507}],"concepts":[{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.7785866260528564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7582008838653564},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7150757312774658},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6444849371910095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5585950613021851},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.513601541519165},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5128872394561768},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.4346925914287567},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4150298833847046},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08349594473838806},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07131358981132507},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3555858.3555878","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3555858.3555878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on the Foundations of Digital Games","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1511887321","https://openalex.org/W1999874108","https://openalex.org/W2013363278","https://openalex.org/W2045531194","https://openalex.org/W2108745234","https://openalex.org/W2121863487","https://openalex.org/W2590587008","https://openalex.org/W2765692642","https://openalex.org/W2791067208","https://openalex.org/W2792893218","https://openalex.org/W2897242117","https://openalex.org/W2962787969","https://openalex.org/W2970894611","https://openalex.org/W2980061931","https://openalex.org/W3088606284","https://openalex.org/W3133628959","https://openalex.org/W3136629921","https://openalex.org/W6785775855"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W4387104524"],"abstract_inverted_index":{"Imitation":[0],"learning":[1,23,28,82],"has":[2,76],"been":[3,77],"demonstrated":[4],"as":[5],"a":[6,29,33,54,59,81,95],"useful":[7],"technique":[8],"in":[9,68,106],"automatic":[10],"game":[11],"testing":[12],"and":[13,91],"the":[14,38,46,49,64,72,86,89,101,111,113],"development":[15],"of":[16,88],"believable":[17],"Non-Player":[18],"Characters":[19],"(NPCs).":[20],"However,":[21],"imitation":[22],"methods":[24],"typically":[25],"focus":[26],"on":[27,63,85],"policy":[30],"to":[31,52,70,103,110],"complete":[32,71],"task":[34,50],"without":[35],"consideration":[36],"about":[37],"playstyle":[39,61,102],"used.":[40],"In":[41],"this":[42],"work":[43],"we":[44],"consider":[45],"case":[47],"where":[48],"is":[51],"imitate":[53],"given":[55],"playstyle.":[56],"We":[57],"defined":[58],"player\u2019s":[60],"based":[62,84],"strategies":[65],"they":[66],"use":[67],"order":[69],"overall":[73],"task.":[74],"This":[75,99],"achieved":[78],"by":[79],"rewarding":[80],"agent":[83,90],"similarity":[87],"demonstration":[92],"trajectories,":[93],"within":[94],"learnt":[96,105],"representation":[97],"space.":[98],"allows":[100],"be":[104],"levels":[107],"that":[108],"differ":[109],"one":[112],"demonstrations":[114],"were":[115],"collected":[116],"in.":[117]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}