{"id":"https://openalex.org/W3128559844","doi":"https://doi.org/10.1109/asonam49781.2020.9381416","title":"Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning","display_name":"Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning","publication_year":2020,"publication_date":"2020-12-07","ids":{"openalex":"https://openalex.org/W3128559844","doi":"https://doi.org/10.1109/asonam49781.2020.9381416","mag":"3128559844"},"language":"en","primary_location":{"id":"doi:10.1109/asonam49781.2020.9381416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam49781.2020.9381416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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/A5102760058","display_name":"Zhou Yang","orcid":"https://orcid.org/0000-0001-6610-9664"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhou Yang","raw_affiliation_strings":["Department of Statistics, George Washington University"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, George Washington University","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101729793","display_name":"Long Nguyen","orcid":"https://orcid.org/0000-0001-7673-7955"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Long Nguyen","raw_affiliation_strings":["Department of Computer Science, Texas Tech University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas Tech University","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051325972","display_name":"Jiazhen Zhu","orcid":"https://orcid.org/0000-0002-0122-8678"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiazhen Zhu","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of California, Davis"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of California, Davis","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083206555","display_name":"Zhenhe Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenhe Pan","raw_affiliation_strings":["Department of Computer Science, Texas Tech University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas Tech University","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084715845","display_name":"Jia Li","orcid":"https://orcid.org/0000-0003-0307-3814"},"institutions":[{"id":"https://openalex.org/I1330693074","display_name":"Walmart (United States)","ror":"https://ror.org/04j0gge90","country_code":"US","type":"company","lineage":["https://openalex.org/I1330693074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jia Li","raw_affiliation_strings":["Walmart Global Tech"],"affiliations":[{"raw_affiliation_string":"Walmart Global Tech","institution_ids":["https://openalex.org/I1330693074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101706801","display_name":"Fang Jin","orcid":"https://orcid.org/0000-0002-6606-5232"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fang Jin","raw_affiliation_strings":["Department of Statistics, George Washington University"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, George Washington University","institution_ids":["https://openalex.org/I193531525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102760058"],"corresponding_institution_ids":["https://openalex.org/I193531525"],"apc_list":null,"apc_paid":null,"fwci":0.5296,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.67932086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"565","last_page":"572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9832000136375427,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9664000272750854,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8285874724388123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7406679391860962},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.6276291608810425},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6117100119590759},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6036311388015747},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5487238168716431},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4952377378940582},{"id":"https://openalex.org/keywords/disaster-response","display_name":"Disaster response","score":0.49166446924209595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44605448842048645},{"id":"https://openalex.org/keywords/emergency-management","display_name":"Emergency management","score":0.3591797351837158},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15470346808433533},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.08339828252792358}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8285874724388123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7406679391860962},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.6276291608810425},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6117100119590759},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6036311388015747},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5487238168716431},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4952377378940582},{"id":"https://openalex.org/C3018653863","wikidata":"https://www.wikidata.org/wiki/Q5281355","display_name":"Disaster response","level":3,"score":0.49166446924209595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44605448842048645},{"id":"https://openalex.org/C62555980","wikidata":"https://www.wikidata.org/wiki/Q1460420","display_name":"Emergency management","level":2,"score":0.3591797351837158},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15470346808433533},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.08339828252792358},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam49781.2020.9381416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam49781.2020.9381416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G6745815324","display_name":null,"funder_award_id":"CNS-1737634","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W361876","https://openalex.org/W29099680","https://openalex.org/W1973039793","https://openalex.org/W2088607870","https://openalex.org/W2106098710","https://openalex.org/W2120846115","https://openalex.org/W2121863487","https://openalex.org/W2126568761","https://openalex.org/W2136504847","https://openalex.org/W2138362680","https://openalex.org/W2143430537","https://openalex.org/W2147210569","https://openalex.org/W2148496763","https://openalex.org/W2334782222","https://openalex.org/W2579353374","https://openalex.org/W2744316982","https://openalex.org/W2782616001","https://openalex.org/W2783805311","https://openalex.org/W2892599584","https://openalex.org/W2900218700","https://openalex.org/W2957552952","https://openalex.org/W2962872206","https://openalex.org/W2963099939","https://openalex.org/W2963956404","https://openalex.org/W2968846613","https://openalex.org/W3026605683","https://openalex.org/W3037207827","https://openalex.org/W3098623843","https://openalex.org/W3124276395","https://openalex.org/W4214717370","https://openalex.org/W6600018571","https://openalex.org/W6601161420","https://openalex.org/W6675704460","https://openalex.org/W6678168664","https://openalex.org/W6680140577","https://openalex.org/W6680197816","https://openalex.org/W6681553090","https://openalex.org/W6732499259","https://openalex.org/W6773839383"],"related_works":["https://openalex.org/W2890683224","https://openalex.org/W2394422641","https://openalex.org/W2578808763","https://openalex.org/W2096153544","https://openalex.org/W4247415845","https://openalex.org/W2017390988","https://openalex.org/W2003723290","https://openalex.org/W2160089643","https://openalex.org/W4231405437","https://openalex.org/W2354984922"],"abstract_inverted_index":{"Ahstract-A":[0],"crucial":[1],"and":[2,13,20,94,100,120,122,184],"time-sensitive":[3,132],"task":[4,23],"when":[5],"any":[6],"disaster":[7],"occurs":[8],"is":[9,24,89],"to":[10,16,31,80,90],"rescue":[11,81,103,127],"victims":[12,82,93,119],"distribute":[14],"resources":[15],"the":[17,46,49,53,125,141,150,166],"right":[18],"groups":[19],"locations.":[21],"This":[22,110],"challenging":[25],"in":[26,39,52,83,129,178],"populated":[27],"urban":[28],"areas,":[29],"due":[30],"a":[32,40,57,61,75,130,145,155],"huge":[33],"burst":[34],"of":[35,48,56,78,157,180],"help":[36],"requests":[37],"made":[38],"very":[41],"short":[42],"period.":[43],"To":[44],"improve":[45],"efficiency":[47],"emergency":[50],"response":[51,185],"immediate":[54],"aftermath":[55],"disaster,":[58],"we":[59],"propose":[60],"heuristic":[62,146,168],"multi-agent":[63,169],"reinforcement":[64,170],"learning":[65,108,171],"scheduling":[66,173],"algorithm,":[67],"named":[68],"as":[69],"ResQ,":[70],"which":[71,148],"can":[72,138],"effectively":[73],"schedule":[74,102],"rapid":[76],"deployment":[77],"volunteers":[79,95],"dynamic":[84],"settings.":[85],"The":[86,134],"core":[87],"concept":[88],"quickly":[91],"identify":[92,117],"from":[96],"social":[97],"network":[98],"data":[99],"then":[101],"parties":[104],"with":[105],"an":[106],"adaptive":[107],"algorithm.":[109],"framework":[111],"performs":[112],"two":[113],"key":[114],"functions:":[115],"1)":[116],"trapped":[118],"volunteers,":[121],"2)":[123],"optimize":[124],"volunteers'":[126],"strategy":[128],"complex":[131],"environment.":[133],"proposed":[135,167],"ResQ":[136],"algorithm":[137],"speed":[139],"up":[140],"training":[142],"processes":[143],"through":[144],"function":[147],"reduces":[149],"state-action":[151],"space":[152],"by":[153],"identifying":[154],"set":[156],"particular":[158],"actions":[159],"over":[160],"others.":[161],"Experimental":[162],"results":[163],"showed":[164],"that":[165],"based":[172],"outperforms":[174],"several":[175],"state-of-art":[176],"methods,":[177],"terms":[179],"both":[181],"reward":[182],"rate":[183],"times.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}