{"id":"https://openalex.org/W4401416630","doi":"https://doi.org/10.1109/cec60901.2024.10611988","title":"Extended Generative Adversarial Imitation Learning for Autonomous Agents in Minecraft Game","display_name":"Extended Generative Adversarial Imitation Learning for Autonomous Agents in Minecraft Game","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4401416630","doi":"https://doi.org/10.1109/cec60901.2024.10611988"},"language":"en","primary_location":{"id":"doi:10.1109/cec60901.2024.10611988","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cec60901.2024.10611988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5077195219","display_name":"Hyung-Jun Moon","orcid":"https://orcid.org/0000-0002-9076-4463"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyung-Jun Moon","raw_affiliation_strings":["Yonsei University,Department of Artificial Inteligence,Seoul,Korea,03722"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,Department of Artificial Inteligence,Seoul,Korea,03722","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102775641","display_name":"Sung-Bae Cho","orcid":"https://orcid.org/0000-0002-0185-1769"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Bae Cho","raw_affiliation_strings":["Yonsei University,Department of Computer Science,Seoul,Korea,03722"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,Department of Computer Science,Seoul,Korea,03722","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9987000226974487,"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":0.9987000226974487,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9948999881744385,"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"}},{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9930999875068665,"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/adversarial-system","display_name":"Adversarial system","score":0.8136793375015259},{"id":"https://openalex.org/keywords/imitation","display_name":"Imitation","score":0.8013442158699036},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7553249597549438},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.7420474290847778},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.498060941696167},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4223071038722992},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06358218193054199}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8136793375015259},{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.8013442158699036},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7553249597549438},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7420474290847778},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.498060941696167},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4223071038722992},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06358218193054199},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec60901.2024.10611988","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cec60901.2024.10611988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Congress on Evolutionary Computation (CEC)","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":58,"referenced_works":["https://openalex.org/W2121517924","https://openalex.org/W2604382266","https://openalex.org/W2736601468","https://openalex.org/W2770884134","https://openalex.org/W2804769055","https://openalex.org/W2892806280","https://openalex.org/W2895192407","https://openalex.org/W2900108799","https://openalex.org/W2963277051","https://openalex.org/W2964182681","https://openalex.org/W2964836580","https://openalex.org/W2965141076","https://openalex.org/W2970377754","https://openalex.org/W3013028018","https://openalex.org/W3034819467","https://openalex.org/W3035069850","https://openalex.org/W3042593733","https://openalex.org/W3082790045","https://openalex.org/W3089538634","https://openalex.org/W3094454393","https://openalex.org/W3096116883","https://openalex.org/W3130500701","https://openalex.org/W3157716083","https://openalex.org/W3174137405","https://openalex.org/W3187758599","https://openalex.org/W3192335307","https://openalex.org/W4210444794","https://openalex.org/W4221154819","https://openalex.org/W4229060449","https://openalex.org/W4288347236","https://openalex.org/W4300799055","https://openalex.org/W4307234290","https://openalex.org/W4361806741","https://openalex.org/W4382318927","https://openalex.org/W4385261330","https://openalex.org/W4386425074","https://openalex.org/W6718092244","https://openalex.org/W6740801417","https://openalex.org/W6741002519","https://openalex.org/W6746462176","https://openalex.org/W6750253780","https://openalex.org/W6754848371","https://openalex.org/W6765008394","https://openalex.org/W6767472741","https://openalex.org/W6768425981","https://openalex.org/W6771312369","https://openalex.org/W6774279402","https://openalex.org/W6779162555","https://openalex.org/W6780559895","https://openalex.org/W6780652139","https://openalex.org/W6782670650","https://openalex.org/W6783268431","https://openalex.org/W6794639795","https://openalex.org/W6797483895","https://openalex.org/W6810497822","https://openalex.org/W6850451752","https://openalex.org/W6854886568","https://openalex.org/W6940927115"],"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/W2502115930"],"abstract_inverted_index":{"3D":[0],"sandbox":[1],"games":[2],"like":[3],"Minecraft":[4,92,144],"allow":[5],"users":[6],"to":[7,38,126,133,177,215],"perform":[8],"innumerable":[9],"actions":[10,75,213],"in":[11,21,42,59,79,160,172,183,211,231],"diverse":[12],"and":[13,29,45,48,64,100,113,120,162,219,229],"complex":[14,44,61,74,77],"environments.":[15],"The":[16,102],"design":[17],"of":[18,97,140,150,227],"autonomous":[19,53,217],"agents":[20],"various":[22,50,237],"environments":[23,47],"is":[24,36,170],"crucial":[25],"for":[26,72,76,117],"real-world":[27],"application":[28],"utilization.":[30],"Generative":[31],"adversarial":[32],"imitation":[33],"learning":[34],"(GAIL)":[35],"designed":[37],"replicate":[39],"human":[40],"demonstrations":[41],"more":[43],"subtle":[46],"solve":[49],"tasks":[51],"by":[52],"agents,":[54],"but":[55],"it":[56,70,169,180],"has":[57],"limitations":[58],"processing":[60],"sequence":[62,201],"input":[63,228],"sufficiently":[65],"suppressing":[66],"incorrect":[67],"policies,":[68],"making":[69],"insufficient":[71],"generating":[73],"inputs":[78,99],"Minecraft.":[80],"In":[81],"this":[82],"paper,":[83],"we":[84,166],"propose":[85],"an":[86],"extended":[87],"GAIL":[88],"that":[89,168,179,189],"effectively":[90],"addresses":[91],"tasks,":[93],"considering":[94],"the":[95,98,111,122,131,148,151,191,204,209,216,221],"complexity":[96],"outputs.":[101],"proposed":[103,152,222],"method,":[104,223],"using":[105],"a":[106,138,173],"global":[107,192],"encoder":[108,193],"shared":[109],"between":[110],"agent":[112,132],"discriminator,":[114],"ensures":[115],"robustness":[116],"image":[118,200],"sequences":[119],"improves":[121],"positive":[123],"reward":[124,205],"function":[125,206],"include":[127],"negative":[128],"values,":[129],"enabling":[130],"construct":[134],"optimal":[135],"trajectories":[136],"among":[137],"variety":[139],"actions.":[141],"Experiments":[142],"on":[143],"game":[145,184],"scenarios":[146],"confirm":[147],"superiority":[149],"method":[153],"over":[154],"typical":[155,174],"GAILs,":[156],"achieving":[157],"human-like":[158],"scores":[159],"Navigate":[161],"TreeChop":[163],"tasks.":[164],"Additionally,":[165],"reveal":[167],"performed":[171],"benchmark":[175],"environment":[176],"show":[178],"can":[181,194,233],"operate":[182],"domains.":[185],"Ablation":[186],"studies":[187],"demonstrate":[188],"(1)":[190],"extract":[195],"meaningful":[196],"representations":[197],"from":[198],"raw":[199],"inputs,":[202],"(2)":[203],"significantly":[207],"impacts":[208],"performance":[210],"composing":[212],"available":[214],"agent,":[218],"(3)":[220],"through":[224],"its":[225],"adjustment":[226],"output":[230],"GAIL,":[232],"be":[234],"applied":[235],"across":[236],"GAIL-based":[238],"models.":[239]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
