{"id":"https://openalex.org/W4306317652","doi":"https://doi.org/10.1145/3511808.3557389","title":"Maximum Norm Minimization","display_name":"Maximum Norm Minimization","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4306317652","doi":"https://doi.org/10.1145/3511808.3557389"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557389","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557389","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","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":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","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/A5050327056","display_name":"Seonjae Lee","orcid":"https://orcid.org/0000-0001-6324-8482"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Seonjae Lee","raw_affiliation_strings":["Hanyang University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041449876","display_name":"Myoung Hoon Lee","orcid":"https://orcid.org/0000-0002-5105-4805"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myoung Hoon Lee","raw_affiliation_strings":["Hanyang University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032721534","display_name":"Jun Moon","orcid":"https://orcid.org/0000-0002-8877-9519"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jun Moon","raw_affiliation_strings":["Hanyang University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050327056"],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":null,"apc_paid":null,"fwci":0.1039,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.29875027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1064","last_page":"1073"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9976999759674072,"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":0.9976999759674072,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.7484627366065979},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.6701749563217163},{"id":"https://openalex.org/keywords/pareto-analysis","display_name":"Pareto analysis","score":0.6677708625793457},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6439181566238403},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.6412591338157654},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6061736345291138},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.6041845679283142},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.56219482421875},{"id":"https://openalex.org/keywords/pareto-interpolation","display_name":"Pareto interpolation","score":0.44746100902557373},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.44508737325668335},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16805073618888855},{"id":"https://openalex.org/keywords/generalized-pareto-distribution","display_name":"Generalized Pareto distribution","score":0.13219407200813293},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08683070540428162}],"concepts":[{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.7484627366065979},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.6701749563217163},{"id":"https://openalex.org/C118127601","wikidata":"https://www.wikidata.org/wiki/Q3797610","display_name":"Pareto analysis","level":3,"score":0.6677708625793457},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6439181566238403},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.6412591338157654},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6061736345291138},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.6041845679283142},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.56219482421875},{"id":"https://openalex.org/C38814450","wikidata":"https://www.wikidata.org/wiki/Q7136870","display_name":"Pareto interpolation","level":4,"score":0.44746100902557373},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.44508737325668335},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16805073618888855},{"id":"https://openalex.org/C133514767","wikidata":"https://www.wikidata.org/wiki/Q5532448","display_name":"Generalized Pareto distribution","level":3,"score":0.13219407200813293},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08683070540428162},{"id":"https://openalex.org/C147581598","wikidata":"https://www.wikidata.org/wiki/Q729429","display_name":"Extreme value theory","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511808.3557389","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557389","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","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":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5299999713897705,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1987725948","https://openalex.org/W1988210060","https://openalex.org/W2060846151","https://openalex.org/W2143381319","https://openalex.org/W2158782408","https://openalex.org/W2747329762","https://openalex.org/W2909906617","https://openalex.org/W2946237553","https://openalex.org/W2952298682","https://openalex.org/W2955319481","https://openalex.org/W2963625099","https://openalex.org/W2983825113","https://openalex.org/W3013722072","https://openalex.org/W3090832565","https://openalex.org/W3126848406","https://openalex.org/W3138191140","https://openalex.org/W4308293966"],"related_works":["https://openalex.org/W2174830943","https://openalex.org/W3089681648","https://openalex.org/W4240829493","https://openalex.org/W2039670868","https://openalex.org/W2058192020","https://openalex.org/W3130787283","https://openalex.org/W1540385653","https://openalex.org/W2090178682","https://openalex.org/W1993518163","https://openalex.org/W317165722"],"abstract_inverted_index":{"In":[0,166],"this":[1],"paper,":[2],"we":[3,155,168],"propose":[4],"Maximum":[5],"Norm":[6],"Minimization":[7],"(MNM),":[8],"a":[9,97],"single-policy":[10],"Multi-Objective":[11],"Reinforcement":[12],"Learning":[13],"(MORL)":[14],"algorithm":[15],"to":[16,29,95,104,125],"solve":[17],"the":[18,31,36,40,48,53,60,73,79,83,87,105,108,114,129,136,145,151,157,170,183,188,192],"multi-objective":[19,41,74,164],"RL":[20],"problem.":[21],"The":[22],"main":[23],"objective":[24,71],"of":[25,86,107,135,144,153,160,172,176,182,185,191],"our":[26],"MNM":[27,44,77,93,122,173],"is":[28,123],"provide":[30,156],"Pareto":[32,37,49,55,89,99,110,130,137,146,193],"optimal":[33,50,90,100,111,147,194],"points":[34,51,112],"constituting":[35,113],"front":[38,56,131,138],"in":[39,52,72,180],"space.":[42,75],"First,":[43],"measures":[45],"distances":[46,61],"among":[47],"current":[54],"and":[57,65,127,140,187],"then":[58],"normalizes":[59],"based":[62],"on":[63],"maximum":[64,80,84,115],"minimum":[66],"reward":[67],"values":[68],"for":[69],"each":[70],"Second,":[76],"identifies":[78],"norm,":[81],"i.e.,":[82],"value":[85],"normalized":[88],"distances.":[91],"Then":[92],"seeks":[94],"find":[96],"new":[98],"point,":[101],"which":[102],"corresponds":[103],"middle":[106],"two":[109,120],"norm.":[116],"By":[117],"iterating":[118],"these":[119],"processes,":[121],"able":[124],"expand":[126],"densify":[128],"with":[132,174],"increasing":[133],"summation":[134,184],"volumes":[139,186],"decreasing":[141],"mean-squared":[142,189],"distance":[143,190],"points.":[148,195],"To":[149],"validate":[150],"performance":[152,171],"MNM,":[154],"experimental":[158],"results":[159],"five":[161],"complex":[162],"robotic":[163],"environments.":[165],"particular,":[167],"compare":[169],"those":[175],"other":[177],"state-of-the-art":[178],"methods":[179],"terms":[181]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
