{"id":"https://openalex.org/W2946435186","doi":"https://doi.org/10.23919/date.2019.8715066","title":"Transfer and Online Reinforcement Learning in STT-MRAM Based Embedded Systems for Autonomous Drones","display_name":"Transfer and Online Reinforcement Learning in STT-MRAM Based Embedded Systems for Autonomous Drones","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2946435186","doi":"https://doi.org/10.23919/date.2019.8715066","mag":"2946435186"},"language":"en","primary_location":{"id":"doi:10.23919/date.2019.8715066","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2019.8715066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5009310657","display_name":"Insik Yoon","orcid":"https://orcid.org/0000-0003-4545-4404"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Insik Yoon","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028574993","display_name":"Aqeel Anwar","orcid":"https://orcid.org/0000-0001-6768-058X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aqeel Anwar","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088740969","display_name":"Titash Rakshit","orcid":"https://orcid.org/0000-0003-4815-1740"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Titash Rakshit","raw_affiliation_strings":["Samsung semiconductor, advanced logic lab, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung semiconductor, advanced logic lab, Austin, TX, USA","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091408102","display_name":"Arijit Raychowdhury","orcid":"https://orcid.org/0000-0001-8391-0576"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arijit Raychowdhury","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1489","last_page":"1494"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9961000084877014,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/drone","display_name":"Drone","score":0.814023494720459},{"id":"https://openalex.org/keywords/static-random-access-memory","display_name":"Static random-access memory","score":0.8075043559074402},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8074753284454346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7906184196472168},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5577636957168579},{"id":"https://openalex.org/keywords/non-volatile-memory","display_name":"Non-volatile memory","score":0.49714329838752747},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4791907072067261},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.47753965854644775},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4598331153392792},{"id":"https://openalex.org/keywords/magnetoresistive-random-access-memory","display_name":"Magnetoresistive random-access memory","score":0.4295716881752014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30419546365737915},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.2932477295398712},{"id":"https://openalex.org/keywords/random-access-memory","display_name":"Random access memory","score":0.24086371064186096},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10486528277397156}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.814023494720459},{"id":"https://openalex.org/C68043766","wikidata":"https://www.wikidata.org/wiki/Q267416","display_name":"Static random-access memory","level":2,"score":0.8075043559074402},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8074753284454346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7906184196472168},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5577636957168579},{"id":"https://openalex.org/C177950962","wikidata":"https://www.wikidata.org/wiki/Q10997658","display_name":"Non-volatile memory","level":2,"score":0.49714329838752747},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4791907072067261},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.47753965854644775},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4598331153392792},{"id":"https://openalex.org/C46891859","wikidata":"https://www.wikidata.org/wiki/Q1061546","display_name":"Magnetoresistive random-access memory","level":3,"score":0.4295716881752014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30419546365737915},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2932477295398712},{"id":"https://openalex.org/C2994168587","wikidata":"https://www.wikidata.org/wiki/Q5295","display_name":"Random access memory","level":2,"score":0.24086371064186096},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10486528277397156},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date.2019.8715066","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2019.8715066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8199999928474426,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1515851193","https://openalex.org/W2075278406","https://openalex.org/W2092178912","https://openalex.org/W2156728623","https://openalex.org/W2165698076","https://openalex.org/W2289252105","https://openalex.org/W2442974303","https://openalex.org/W2500509404","https://openalex.org/W2618530766","https://openalex.org/W2787295179","https://openalex.org/W2793776854","https://openalex.org/W2962957005","https://openalex.org/W2963491296"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4327774218","https://openalex.org/W2059768187","https://openalex.org/W2342993049","https://openalex.org/W2171162600","https://openalex.org/W2783549708","https://openalex.org/W2601736132","https://openalex.org/W1993178305","https://openalex.org/W2700018028"],"abstract_inverted_index":{"In":[0],"this":[1,40],"paper":[2],"we":[3],"present":[4],"an":[5,68],"algorithm-hardware":[6],"co-design":[7],"for":[8,23,33],"camera-based":[9],"autonomous":[10],"flight":[11],"in":[12],"small":[13],"drones.":[14],"We":[15,38],"show":[16],"that":[17],"the":[18,51,61,64,72,75,81,90],"large":[19],"write-latency":[20],"and":[21,48,106],"write-energy":[22],"nonvolatile":[24],"memory":[25],"(NVM)":[26],"based":[27],"embedded":[28],"systems":[29],"makes":[30],"them":[31],"unsuitable":[32],"real-time":[34,82],"reinforcement":[35],"learning":[36,44],"(RL).":[37],"address":[39],"by":[41],"performing":[42],"transfer":[43],"(TL)":[45],"on":[46,50,89],"meta-environments":[47],"RL":[49,85,105],"last":[52,76],"few":[53,77],"layers":[54],"of":[55,74],"a":[56,97],"deep":[57],"convolutional":[58],"network.":[59],"While":[60],"NVM":[62],"stores":[63,71],"meta-model":[65],"from":[66],"TL,":[67],"on-die":[69],"SRAM":[70,91],"weights":[73],"layers.":[78],"Thus":[79],"all":[80],"updates":[83],"via":[84],"are":[86],"carried":[87],"out":[88],"arrays.":[92],"This":[93],"provides":[94],"us":[95],"with":[96,100],"practical":[98],"platform":[99],"comparable":[101],"performance":[102],"as":[103],"end-to-end":[104],"83.4%":[107],"lower":[108],"energy":[109],"per":[110],"image":[111],"frame.":[112]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
