{"id":"https://openalex.org/W3130821714","doi":"https://doi.org/10.1109/lra.2021.3067283","title":"Fair Robust Assignment Using Redundancy","display_name":"Fair Robust Assignment Using Redundancy","publication_year":2021,"publication_date":"2021-03-18","ids":{"openalex":"https://openalex.org/W3130821714","doi":"https://doi.org/10.1109/lra.2021.3067283","mag":"3130821714"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2021.3067283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2021.3067283","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2102.06265","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053163377","display_name":"Matthew Malencia","orcid":"https://orcid.org/0000-0001-5445-361X"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]},{"id":"https://openalex.org/I4210096386","display_name":"Bridge University","ror":"https://ror.org/00cbm0437","country_code":"SS","type":"education","lineage":["https://openalex.org/I4210096386"]},{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["GB","SS","US"],"is_corresponding":false,"raw_author_name":"Matthew Malencia","raw_affiliation_strings":["Faculty of Computer Science and Technology, University of Cambridge, Cambridge, U.K","GRASP Laboratory, University of Pennsylvania, Philadelphia, PA, USA"],"raw_orcid":"https://orcid.org/0000-0001-5445-361X","affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Technology, University of Cambridge, Cambridge, U.K","institution_ids":["https://openalex.org/I241749","https://openalex.org/I4210096386"]},{"raw_affiliation_string":"GRASP Laboratory, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087021192","display_name":"Vijay Kumar","orcid":"https://orcid.org/0000-0002-3902-9391"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijay Kumar","raw_affiliation_strings":["GRASP Laboratory, University of Pennsylvania, Philadelphia, PA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3902-9391","affiliations":[{"raw_affiliation_string":"GRASP Laboratory, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029243115","display_name":"George J. Pappas","orcid":"https://orcid.org/0000-0001-9081-0637"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Pappas","raw_affiliation_strings":["GRASP Laboratory, University of Pennsylvania, Philadelphia, PA, USA"],"raw_orcid":"https://orcid.org/0000-0001-9081-0637","affiliations":[{"raw_affiliation_string":"GRASP Laboratory, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066624177","display_name":"Amanda Prorok","orcid":"https://orcid.org/0000-0001-7313-5983"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]},{"id":"https://openalex.org/I4210096386","display_name":"Bridge University","ror":"https://ror.org/00cbm0437","country_code":"SS","type":"education","lineage":["https://openalex.org/I4210096386"]}],"countries":["GB","SS"],"is_corresponding":false,"raw_author_name":"Amanda Prorok","raw_affiliation_strings":["Faculty of Computer Science and Technology, University of Cambridge, Cambridge, U.K","[Faculty of Computer Science and Technology, University of Cambridge, Cambridge, U.K.]"],"raw_orcid":"https://orcid.org/0000-0001-7313-5983","affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Technology, University of Cambridge, Cambridge, U.K","institution_ids":["https://openalex.org/I241749","https://openalex.org/I4210096386"]},{"raw_affiliation_string":"[Faculty of Computer Science and Technology, University of Cambridge, Cambridge, U.K.]","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05215487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":"2","first_page":"4217","last_page":"4224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9955000281333923,"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"}},"topics":[{"id":"https://openalex.org/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9955000281333923,"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/T12288","display_name":"Optimization and Search Problems","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9921000003814697,"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/cardinality","display_name":"Cardinality (data modeling)","score":0.7544536590576172},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.689500629901886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.689277172088623},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6544658541679382},{"id":"https://openalex.org/keywords/assignment-problem","display_name":"Assignment problem","score":0.62046217918396},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5725831985473633},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.5641915798187256},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5097739100456238},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5028852820396423},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4824998378753662},{"id":"https://openalex.org/keywords/weapon-target-assignment-problem","display_name":"Weapon target assignment problem","score":0.4730852246284485},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4225802719593048},{"id":"https://openalex.org/keywords/generalized-assignment-problem","display_name":"Generalized assignment problem","score":0.39532771706581116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22469261288642883}],"concepts":[{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.7544536590576172},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.689500629901886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.689277172088623},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6544658541679382},{"id":"https://openalex.org/C85044808","wikidata":"https://www.wikidata.org/wiki/Q620614","display_name":"Assignment problem","level":2,"score":0.62046217918396},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5725831985473633},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.5641915798187256},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5097739100456238},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5028852820396423},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4824998378753662},{"id":"https://openalex.org/C30202268","wikidata":"https://www.wikidata.org/wiki/Q7978065","display_name":"Weapon target assignment problem","level":4,"score":0.4730852246284485},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4225802719593048},{"id":"https://openalex.org/C194146004","wikidata":"https://www.wikidata.org/wiki/Q5532462","display_name":"Generalized assignment problem","level":3,"score":0.39532771706581116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22469261288642883},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/lra.2021.3067283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2021.3067283","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2102.06265","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.06265","pdf_url":"https://arxiv.org/pdf/2102.06265","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3130821714","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2102.06265.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:www.repository.cam.ac.uk:1810/318666","is_oa":false,"landing_page_url":"https://www.repository.cam.ac.uk/handle/1810/318666","pdf_url":null,"source":{"id":"https://openalex.org/S4306401777","display_name":"Apollo (University of Cambridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I241749","host_organization_name":"University of Cambridge","host_organization_lineage":["https://openalex.org/I241749"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Object"},{"id":"doi:10.48550/arxiv.2102.06265","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2102.06265","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.17863/cam.65783","is_oa":true,"landing_page_url":"https://doi.org/10.17863/cam.65783","pdf_url":null,"source":{"id":"https://openalex.org/S7407050737","display_name":"Apollo","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Other"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2102.06265","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.06265","pdf_url":"https://arxiv.org/pdf/2102.06265","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1025965334","display_name":null,"funder_award_id":"DGE-1845298","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1526588447","https://openalex.org/W1577069963","https://openalex.org/W1597472704","https://openalex.org/W1680189815","https://openalex.org/W2009990213","https://openalex.org/W2022749618","https://openalex.org/W2029828838","https://openalex.org/W2072082519","https://openalex.org/W2094747375","https://openalex.org/W2109209963","https://openalex.org/W2128347943","https://openalex.org/W2157488300","https://openalex.org/W2166566250","https://openalex.org/W2209718927","https://openalex.org/W2216026678","https://openalex.org/W2316715785","https://openalex.org/W2320657479","https://openalex.org/W2331236532","https://openalex.org/W2462276508","https://openalex.org/W2557671501","https://openalex.org/W2603253225","https://openalex.org/W2618631885","https://openalex.org/W2738761080","https://openalex.org/W2762694293","https://openalex.org/W2781849003","https://openalex.org/W2788083269","https://openalex.org/W2809878087","https://openalex.org/W2963510622","https://openalex.org/W2974817986","https://openalex.org/W3014590323","https://openalex.org/W3021487874","https://openalex.org/W3023013592","https://openalex.org/W3124443940","https://openalex.org/W3159285220","https://openalex.org/W3181414820","https://openalex.org/W4236082126","https://openalex.org/W6631450471","https://openalex.org/W6635751725","https://openalex.org/W6676811314","https://openalex.org/W6688486825","https://openalex.org/W6718747770","https://openalex.org/W6745500190","https://openalex.org/W6748401158","https://openalex.org/W6752460210","https://openalex.org/W6753396549","https://openalex.org/W6767327189","https://openalex.org/W6794283177","https://openalex.org/W6844489059"],"related_works":["https://openalex.org/W3139273809","https://openalex.org/W2797339166","https://openalex.org/W1981275363","https://openalex.org/W2089312859","https://openalex.org/W3105864617","https://openalex.org/W3017910592","https://openalex.org/W2769661352","https://openalex.org/W2143406029","https://openalex.org/W3132250512","https://openalex.org/W2014573597","https://openalex.org/W2020989631","https://openalex.org/W2041207048","https://openalex.org/W1507690907","https://openalex.org/W3020486732","https://openalex.org/W2104082547","https://openalex.org/W2112119888","https://openalex.org/W2783555222","https://openalex.org/W2188704904","https://openalex.org/W3046984806","https://openalex.org/W3099753279"],"abstract_inverted_index":{"We":[0,83,142,168],"study":[1],"the":[2,33,67,98,122,144,165],"consideration":[3],"of":[4,21,35,69,86,100,171,174],"fairness":[5,200],"in":[6,29,198],"redundant":[7,19,43,60,96,172],"assignment":[8,20,140],"for":[9,58],"multi-agent":[10],"task":[11,30,61,71,105],"allocation.":[12],"It":[13],"has":[14],"recently":[15],"been":[16],"shown":[17],"that":[18,113,159],"agents":[22,102],"to":[23,27,37,88,131,176,192],"tasks":[24,46],"provides":[25,196],"robustness":[26],"uncertainty":[28],"performance.":[31],"However,":[32],"question":[34],"how":[36],"<italic":[38],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[39,116,152],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">fairly</i>":[40],"assign":[41],"these":[42],"resources":[44],"across":[45],"remains":[47],"unaddressed.":[48],"In":[49,94],"this":[50,78,148],"letter,":[51],"we":[52,64,108,157],"present":[53],"a":[54,74,90,110,133,138],"novel":[55],"problem":[56,79],"formulation":[57],"fair":[59],"allocation,":[62],"which":[63],"cast":[65],"as":[66],"optimization":[68],"worst-case":[70],"costs":[72],"under":[73],"cardinality":[75,123,149,166],"constraint.":[76,124],"Solving":[77],"optimally":[80],"is":[81,114],"NP-hard.":[82],"exploit":[84],"properties":[85],"supermodularity":[87],"propose":[89],"polynomial-time,":[91],"near-optimal":[92],"solution.":[93],"supermodular":[95],"assignment,":[97],"use":[99],"additional":[101],"always":[103],"improves":[104],"costs.":[106],"Therefore,":[107],"provide":[109],"solution":[111],"set":[112],"<inline-formula":[115,151],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[117,153],"notation=\"LaTeX\">$\\alpha$</tex-math></inline-formula>":[118,154],"times":[119],"larger":[120],"than":[121],"This":[125],"constraint":[126],"relaxation":[127],"enables":[128],"our":[129,160,187],"approach":[130],"achieve":[132],"super-optimal":[134],"cost":[135],"by":[136],"using":[137],"sub-optimal":[139],"size.":[141],"derive":[143],"sub-optimality":[145],"bound":[146],"on":[147,179],"relaxation,":[150],".":[155],"Additionally,":[156],"demonstrate":[158],"algorithm":[161,188],"performs":[162],"near-optimally":[163],"without":[164],"relaxation.":[167],"show":[169],"simulations":[170],"assignments":[173],"robots":[175],"goal":[177],"nodes":[178],"transport":[180],"networks":[181],"with":[182],"uncertain":[183],"travel":[184],"times.":[185],"Empirically,":[186],"outperforms":[189],"benchmarks,":[190],"scales":[191],"large":[193],"problems,":[194],"and":[195,201],"improvements":[197],"both":[199],"average":[202],"utility.":[203]},"counts_by_year":[],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
