{"id":"https://openalex.org/W4207061513","doi":"https://doi.org/10.1109/ssci50451.2021.9660192","title":"Learning Sparse Evidence- Driven Interpretation to Understand Deep Reinforcement Learning Agents","display_name":"Learning Sparse Evidence- Driven Interpretation to Understand Deep Reinforcement Learning Agents","publication_year":2021,"publication_date":"2021-12-05","ids":{"openalex":"https://openalex.org/W4207061513","doi":"https://doi.org/10.1109/ssci50451.2021.9660192"},"language":"en","primary_location":{"id":"doi:10.1109/ssci50451.2021.9660192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9660192","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5024518521","display_name":"Giang Dao","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Giang Dao","raw_affiliation_strings":["University of North Carolina at Charlotte, Charlotte, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Charlotte, Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020074891","display_name":"Wesley Houston Huff","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wesley Houston Huff","raw_affiliation_strings":["University of North Carolina at Charlotte, Charlotte, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Charlotte, Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100359267","display_name":"Minwoo Lee","orcid":"https://orcid.org/0000-0002-4939-2936"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minwoo Lee","raw_affiliation_strings":["University of North Carolina at Charlotte, Charlotte, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Charlotte, Charlotte, USA","institution_ids":["https://openalex.org/I102149020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024518521"],"corresponding_institution_ids":["https://openalex.org/I102149020"],"apc_list":null,"apc_paid":null,"fwci":0.377,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61983548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","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/T11689","display_name":"Adversarial Robustness in Machine Learning","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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9990000128746033,"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":0.9958000183105469,"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/interpretability","display_name":"Interpretability","score":0.8763111233711243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8066291809082031},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7141923904418945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6894947290420532},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.6888695955276489},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6714432239532471},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.5461995005607605},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.43134722113609314}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8763111233711243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8066291809082031},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7141923904418945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6894947290420532},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.6888695955276489},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6714432239532471},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5461995005607605},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.43134722113609314},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci50451.2021.9660192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9660192","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1825675169","https://openalex.org/W1849277567","https://openalex.org/W1932198206","https://openalex.org/W1959608418","https://openalex.org/W2076118331","https://openalex.org/W2088203270","https://openalex.org/W2123045220","https://openalex.org/W2130325614","https://openalex.org/W2158599326","https://openalex.org/W2187089797","https://openalex.org/W2295107390","https://openalex.org/W2516809705","https://openalex.org/W2736601468","https://openalex.org/W2753783305","https://openalex.org/W2909102800","https://openalex.org/W2962858109","https://openalex.org/W2963564844","https://openalex.org/W2963969878","https://openalex.org/W3086764798","https://openalex.org/W3112261185","https://openalex.org/W4289254946","https://openalex.org/W4293846201","https://openalex.org/W4293861706","https://openalex.org/W4385245566","https://openalex.org/W6637162671","https://openalex.org/W6638389677","https://openalex.org/W6639204139","https://openalex.org/W6640963894","https://openalex.org/W6739575509","https://openalex.org/W6739868092","https://openalex.org/W6739901393","https://openalex.org/W6741002519","https://openalex.org/W6787304829"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W3198576301","https://openalex.org/W3030836721"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,115],"machine":[3,17,34],"learning":[4,18,35,39,46],"require":[5],"interpretability":[6],"and":[7,11,48,107,110],"explainability":[8],"for":[9,73,98],"reliable":[10],"trustworthy":[12],"systems.":[13],"However,":[14],"explanations":[15],"of":[16,29,62,68,113],"models":[19],"are":[20],"often":[21],"hard":[22],"to":[23,43,57,78,93],"achieve":[24],"given":[25],"the":[26,32,45,49,69,102,105,111],"large":[27,60],"amount":[28],"information":[30],"from":[31],"complex":[33],"models.":[36],"Evidence-driven":[37],"reinforcement":[38],"provides":[40],"snapshot":[41,64],"images":[42,97],"understand":[44],"experiences":[47],"learned":[50],"behaviors;":[51],"however,":[52],"it":[53],"requires":[54],"human":[55,80],"labor":[56],"analyze":[58],"a":[59],"number":[61],"retrieved":[63],"images.":[65],"Imposing":[66],"sparsity":[67,106],"evidence":[70,90,114],"collection":[71,91],"process":[72],"interpretation":[74,81],"is,":[75],"thus,":[76],"significant":[77],"make":[79],"easy.":[82],"In":[83],"this":[84],"paper,":[85],"we":[86],"proposed":[87],"novel":[88],"sparse":[89],"methods":[92],"discarding":[94],"less":[95],"important":[96],"interpretation.":[99],"We":[100],"discuss":[101],"trade-offs":[103],"between":[104],"re-approximation":[108],"accuracy":[109],"quality":[112],"different":[116],"Atari":[117],"game":[118],"environments.":[119]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
