{"id":"https://openalex.org/W2962699241","doi":"https://doi.org/10.1007/s10458-021-09497-8","title":"Playing Atari with few neurons","display_name":"Playing Atari with few neurons","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W2962699241","doi":"https://doi.org/10.1007/s10458-021-09497-8","mag":"2962699241","pmid":"https://pubmed.ncbi.nlm.nih.gov/34720684"},"language":"en","primary_location":{"id":"doi:10.1007/s10458-021-09497-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10458-021-09497-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10458-021-09497-8.pdf","source":{"id":"https://openalex.org/S5405189","display_name":"Autonomous Agents and Multi-Agent Systems","issn_l":"1387-2532","issn":["1387-2532","1573-7454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Autonomous Agents and Multi-Agent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10458-021-09497-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009996780","display_name":"Giuseppe Cuccu","orcid":"https://orcid.org/0000-0002-1005-5246"},"institutions":[{"id":"https://openalex.org/I154338468","display_name":"University of Fribourg","ror":"https://ror.org/022fs9h90","country_code":"CH","type":"education","lineage":["https://openalex.org/I154338468"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Giuseppe Cuccu","raw_affiliation_strings":["eXascale Infolab, Department of Computer Science, University of Fribourg, Fribourg, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-1005-5246","affiliations":[{"raw_affiliation_string":"eXascale Infolab, Department of Computer Science, University of Fribourg, Fribourg, Switzerland","institution_ids":["https://openalex.org/I154338468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077267552","display_name":"Julian Togelius","orcid":"https://orcid.org/0000-0003-3128-4598"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julian Togelius","raw_affiliation_strings":["Game Innovation Lab, Tandon School of Engineering, New York University, New York, NY USA","Game Innovation Lab, Tandon School of Engineering, New York University, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Game Innovation Lab, Tandon School of Engineering, New York University, New York, NY USA","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Game Innovation Lab, Tandon School of Engineering, New York University, New York, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028454093","display_name":"Philippe Cudr\u00e9-Mauroux","orcid":"https://orcid.org/0000-0003-2588-4212"},"institutions":[{"id":"https://openalex.org/I154338468","display_name":"University of Fribourg","ror":"https://ror.org/022fs9h90","country_code":"CH","type":"education","lineage":["https://openalex.org/I154338468"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Philippe Cudr\u00e9-Mauroux","raw_affiliation_strings":["eXascale Infolab, Department of Computer Science, University of Fribourg, Fribourg, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"eXascale Infolab, Department of Computer Science, University of Fribourg, Fribourg, Switzerland","institution_ids":["https://openalex.org/I154338468"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009996780"],"corresponding_institution_ids":["https://openalex.org/I154338468"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":1.5605,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.8536942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"35","issue":"2","first_page":"17","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9994999766349792,"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":0.9994999766349792,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9954000115394592,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9901000261306763,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7852538824081421},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6700940728187561},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6116429567337036},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5544018745422363},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.5333067774772644},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5223711133003235},{"id":"https://openalex.org/keywords/action-selection","display_name":"Action selection","score":0.5222107768058777},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.45340293645858765},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.44749683141708374},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4394463896751404},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4323943257331848},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3905920684337616},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3601839542388916}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7852538824081421},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6700940728187561},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6116429567337036},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5544018745422363},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5333067774772644},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5223711133003235},{"id":"https://openalex.org/C166109690","wikidata":"https://www.wikidata.org/wiki/Q4677422","display_name":"Action selection","level":3,"score":0.5222107768058777},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.45340293645858765},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.44749683141708374},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4394463896751404},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4323943257331848},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3905920684337616},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3601839542388916},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s10458-021-09497-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10458-021-09497-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10458-021-09497-8.pdf","source":{"id":"https://openalex.org/S5405189","display_name":"Autonomous Agents and Multi-Agent Systems","issn_l":"1387-2532","issn":["1387-2532","1573-7454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Autonomous Agents and Multi-Agent Systems","raw_type":"journal-article"},{"id":"pmid:34720684","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34720684","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Autonomous agents and multi-agent systems","raw_type":null},{"id":"pmh:oai:europepmc.org:7442572","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC8550197","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8550197","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8550197","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Auton Agent Multi Agent Syst","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s10458-021-09497-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10458-021-09497-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10458-021-09497-8.pdf","source":{"id":"https://openalex.org/S5405189","display_name":"Autonomous Agents and Multi-Agent Systems","issn_l":"1387-2532","issn":["1387-2532","1573-7454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Autonomous Agents and Multi-Agent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G3806663382","display_name":"Tighten-it-All: Big Data Integration for Loosely-Structured Data","funder_award_id":"167320","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G4428227406","display_name":"RI: Small: General Intelligence through Algorithm Invention and Selection","funder_award_id":"1717324","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4484507415","display_name":null,"funder_award_id":"407540_167320","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G6557465867","display_name":null,"funder_award_id":"407540","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"},{"id":"https://openalex.org/F4320323471","display_name":"Universit\u00e9 de Fribourg","ror":"https://ror.org/022fs9h90"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2962699241.pdf","grobid_xml":"https://content.openalex.org/works/W2962699241.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W13067065","https://openalex.org/W1547737196","https://openalex.org/W1572584819","https://openalex.org/W1674110665","https://openalex.org/W2002196558","https://openalex.org/W2008732654","https://openalex.org/W2034786972","https://openalex.org/W2084772916","https://openalex.org/W2099397840","https://openalex.org/W2111935653","https://openalex.org/W2112036188","https://openalex.org/W2124290836","https://openalex.org/W2128659236","https://openalex.org/W2130187411","https://openalex.org/W2136495462","https://openalex.org/W2145339207","https://openalex.org/W2148067905","https://openalex.org/W2150304264","https://openalex.org/W2150468603","https://openalex.org/W2151693816","https://openalex.org/W2151965738","https://openalex.org/W2165776394","https://openalex.org/W2166160300","https://openalex.org/W2171658832","https://openalex.org/W2184852195","https://openalex.org/W2362143032","https://openalex.org/W2569196563","https://openalex.org/W2596367596","https://openalex.org/W2614839826","https://openalex.org/W2749807327","https://openalex.org/W2761873684","https://openalex.org/W2769112066","https://openalex.org/W2778749116","https://openalex.org/W2779977383","https://openalex.org/W2785533664","https://openalex.org/W2789184669","https://openalex.org/W2792919371","https://openalex.org/W2891790128","https://openalex.org/W2913399920","https://openalex.org/W2914261249","https://openalex.org/W2950872548","https://openalex.org/W2962991582","https://openalex.org/W2963369679","https://openalex.org/W2963523627","https://openalex.org/W2963790038","https://openalex.org/W2963871073","https://openalex.org/W2964025389","https://openalex.org/W2964053787","https://openalex.org/W2964282857","https://openalex.org/W2966556569","https://openalex.org/W3013618273","https://openalex.org/W3037207827","https://openalex.org/W3103780890","https://openalex.org/W4206310440","https://openalex.org/W4244017338","https://openalex.org/W4299335686","https://openalex.org/W6682262322","https://openalex.org/W6752374788"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W4362501864","https://openalex.org/W4306904969","https://openalex.org/W2015051472","https://openalex.org/W2168501056","https://openalex.org/W2120009678","https://openalex.org/W2912947802","https://openalex.org/W2037601570","https://openalex.org/W2123856982","https://openalex.org/W1530089576"],"abstract_inverted_index":{"We":[0,211],"propose":[1],"a":[2,78,103,117,190,216],"new":[3,133,191],"method":[4,130],"for":[5,15,77,157,181],"learning":[6,30],"compact":[7,104],"state":[8,100,120],"representations":[9,92,101,121],"and":[10,55,143,165,248],"policies":[11],"separately":[12],"but":[13],"simultaneously":[14],"policy":[16,91,256],"approximation":[17],"in":[18,124,138,151,254],"vision-based":[19],"applications":[20],"such":[21],"as":[22,85,87,135],"Atari":[23,219],"games.":[24],"Approaches":[25],"based":[26,58,106],"on":[27,59,107,215,232],"deep":[28,44],"reinforcement":[29],"typically":[31],"map":[32],"pixels":[33],"directly":[34],"to":[35,37,131,228,251],"actions":[36],"enable":[38],"end-to-end":[39],"training.":[40],"Internally,":[41],"however,":[42,174],"the":[43,48,69,73,154,170,175,182,194,202,209,252],"neural":[45,183,223],"network":[46],"bears":[47],"responsibility":[49],"of":[50,81,119,153,193,204,218,225,240,262],"both":[51],"extracting":[52],"useful":[53],"information":[54,159],"making":[56],"decisions":[57],"it,":[60],"two":[61,108,260],"objectives":[62],"which":[63,93,122,200,258],"can":[64],"be":[65],"addressed":[66,188],"independently.":[67],"Separating":[68],"image":[70],"processing":[71],"from":[72],"action":[74],"selection":[75,217],"allows":[76],"better":[79],"understanding":[80],"either":[82],"task":[83],"individually,":[84],"well":[86],"potentially":[88],"finding":[89],"smaller":[90],"is":[94,187],"inherently":[95],"interesting.":[96],"Our":[97],"approach":[98],"learns":[99],"using":[102,221],"encoder":[105,176],"novel":[109],"algorithms:":[110],"(i)":[111],"Increasing":[112],"Dictionary":[113],"Vector":[114],"Quantization":[115],"builds":[116],"dictionary":[118,171],"grows":[123],"size":[125,172],"over":[126],"time,":[127],"allowing":[128],"our":[129,213],"address":[132],"observations":[134,150],"they":[136],"appear":[137],"an":[139],"open-ended":[140],"online-learning":[141],"context;":[142],"(ii)":[144],"Direct":[145],"Residuals":[146],"Sparse":[147],"Coding":[148],"encodes":[149],"function":[152],"dictionary,":[155],"aiming":[156],"highest":[158],"inclusion":[160],"by":[161],"disregarding":[162],"reconstruction":[163],"error":[164],"maximizing":[166],"code":[167],"sparsity.":[168],"As":[169],"increases,":[173],"produces":[177],"increasingly":[178],"larger":[179],"inputs":[180],"network;":[184],"this":[185],"issue":[186],"with":[189],"variant":[192],"Exponential":[195],"Natural":[196],"Evolution":[197],"Strategies":[198],"algorithm":[199],"adapts":[201],"dimensionality":[203],"its":[205],"probability":[206],"distribution":[207],"along":[208],"run.":[210],"test":[212],"system":[214],"games":[220],"tiny":[222],"networks":[224],"only":[226],"6":[227],"18":[229],"neurons":[230],"(depending":[231],"each":[233],"game's":[234],"controls).":[235],"These":[236],"are":[237,244],"still":[238],"capable":[239],"achieving":[241],"results":[242],"that":[243],"not":[245],"much":[246],"worse,":[247],"occasionally":[249],"superior,":[250],"state-of-the-art":[253],"direct":[255],"search":[257],"uses":[259],"orders":[261],"magnitude":[263],"more":[264],"neurons.":[265]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":8}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2019-07-30T00:00:00"}
