{"id":"https://openalex.org/W4385767716","doi":"https://doi.org/10.24963/ijcai.2023/340","title":"A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning","display_name":"A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385767716","doi":"https://doi.org/10.24963/ijcai.2023/340"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/340","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/340","pdf_url":"https://www.ijcai.org/proceedings/2023/0340.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2023/0340.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006983220","display_name":"Lang Qin","orcid":"https://orcid.org/0000-0002-9660-6378"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lang Qin","raw_affiliation_strings":["Zhejiang University","College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046836420","display_name":"Rui Yan","orcid":"https://orcid.org/0000-0003-0048-3092"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Yan","raw_affiliation_strings":["Zhejiang University of Technology","College of Computer Science, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"College of Computer Science, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057282687","display_name":"Huajin Tang","orcid":"https://orcid.org/0000-0002-9857-1543"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huajin Tang","raw_affiliation_strings":["Zhejiang Lab","Zhejiang University","College of Computer Science and Technology, Zhejiang University, Hangzhou, China","Zhejiang Lab, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Lab","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006983220"],"corresponding_institution_ids":["https://openalex.org/I168879160","https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.8724,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73365823,"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":"3049","last_page":"3057"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9997000098228455,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8468195199966431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8318313360214233},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6723319292068481},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5871157050132751},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5725176334381104},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5048924088478088},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44930416345596313},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.4194015562534332},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4192090630531311},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.32226869463920593}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8468195199966431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8318313360214233},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6723319292068481},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5871157050132751},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5725176334381104},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5048924088478088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44930416345596313},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.4194015562534332},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4192090630531311},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32226869463920593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2023/340","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/340","pdf_url":"https://www.ijcai.org/proceedings/2023/0340.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2023/340","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/340","pdf_url":"https://www.ijcai.org/proceedings/2023/0340.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8999999761581421,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G3694722345","display_name":null,"funder_award_id":"U2030204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6596266309","display_name":null,"funder_award_id":"2020AAA0105900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8323016548","display_name":null,"funder_award_id":"62236007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385767716.pdf"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1959608418","https://openalex.org/W2020539709","https://openalex.org/W2138214290","https://openalex.org/W2145339207","https://openalex.org/W2155027007","https://openalex.org/W2158782408","https://openalex.org/W2257979135","https://openalex.org/W2342662072","https://openalex.org/W2621826044","https://openalex.org/W2745868649","https://openalex.org/W2787938642","https://openalex.org/W2790273063","https://openalex.org/W2890344110","https://openalex.org/W2891530223","https://openalex.org/W2904453761","https://openalex.org/W2910054127","https://openalex.org/W2919912236","https://openalex.org/W2963864421","https://openalex.org/W2969489794","https://openalex.org/W2980764939","https://openalex.org/W3004557030","https://openalex.org/W3043133474","https://openalex.org/W3103780890","https://openalex.org/W3119866505","https://openalex.org/W3130821023","https://openalex.org/W3176730514","https://openalex.org/W3186962187","https://openalex.org/W3214982345","https://openalex.org/W4221145431","https://openalex.org/W4226534980","https://openalex.org/W4287126156","https://openalex.org/W4312914652"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2988126442","https://openalex.org/W1974414866","https://openalex.org/W2057568687","https://openalex.org/W2063982682","https://openalex.org/W2800613970","https://openalex.org/W2531188731"],"abstract_inverted_index":{"In":[0,44],"recent":[1],"years,":[2],"spiking":[3,24],"neural":[4],"networks":[5],"(SNNs)":[6],"have":[7,99],"been":[8],"used":[9],"in":[10,127],"reinforcement":[11,25],"learning":[12,26],"(RL)":[13],"due":[14],"to":[15,52,123],"their":[16],"low":[17,111],"power":[18],"consumption":[19],"and":[20,41,54,63,77,84,118,130],"event-driven":[21],"features.":[22],"However,":[23],"(SRL),":[27],"which":[28,88],"suffers":[29],"from":[30],"fixed":[31],"coding":[32],"methods,":[33],"still":[34],"faces":[35],"the":[36,58,61,70,73,125],"problems":[37],"of":[38,60,95,114],"high":[39],"latency":[40,109],"poor":[42],"versatility.":[43],"this":[45],"paper,":[46],"we":[47,68],"use":[48,78],"learnable":[49],"matrix":[50],"multiplication":[51],"encode":[53],"decode":[55],"spikes,":[56],"improving":[57],"flexibility":[59],"coders":[62],"thus":[64],"reducing":[65],"latency.":[66],"Meanwhile,":[67],"train":[69],"SNNs":[71],"using":[72],"direct":[74],"training":[75],"method":[76,103],"two":[79],"different":[80,128,131],"structures":[81],"for":[82],"online":[83],"offline":[85],"RL":[86],"algorithms,":[87],"gives":[89],"our":[90,102],"model":[91],"a":[92],"wider":[93],"range":[94],"applications.":[96],"Extensive":[97],"experiments":[98],"revealed":[100],"that":[101],"achieves":[104],"optimal":[105],"performance":[106],"with":[107],"ultra-low":[108],"(as":[110],"as":[112],"0.8%":[113],"other":[115],"SRL":[116],"methods)":[117],"excellent":[119],"energy":[120],"efficiency":[121],"(up":[122],"5X":[124],"DNNs)":[126],"algorithms":[129],"environments.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2023-08-12T00:00:00"}
