{"id":"https://openalex.org/W4297897043","doi":"https://doi.org/10.1007/978-3-031-15565-9_3","title":"ReCCoVER: Detecting Causal Confusion for\u00a0Explainable Reinforcement Learning","display_name":"ReCCoVER: Detecting Causal Confusion for\u00a0Explainable Reinforcement Learning","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4297897043","doi":"https://doi.org/10.1007/978-3-031-15565-9_3"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-15565-9_3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-15565-9_3","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-031-15565-9_3","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029228044","display_name":"Jasmina Gajcin","orcid":"https://orcid.org/0000-0002-8731-1236"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Jasmina Gajcin","raw_affiliation_strings":["Trinity College Dublin, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Trinity College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I205274468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059738292","display_name":"Ivana Duspari\u0107","orcid":"https://orcid.org/0000-0003-0621-5400"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Ivana Dusparic","raw_affiliation_strings":["Trinity College Dublin, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Trinity College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I205274468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029228044"],"corresponding_institution_ids":["https://openalex.org/I205274468"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":2.312,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90616934,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"38","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9973999857902527,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9973999857902527,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9907000064849854,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.982699990272522,"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/confusion","display_name":"Confusion","score":0.8357413411140442},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.831222653388977},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6827548742294312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5270876288414001},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.32728880643844604},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3224857747554779},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08348947763442993},{"id":"https://openalex.org/keywords/psychoanalysis","display_name":"Psychoanalysis","score":0.0713166892528534}],"concepts":[{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.8357413411140442},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.831222653388977},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6827548742294312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5270876288414001},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.32728880643844604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3224857747554779},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08348947763442993},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0713166892528534}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-15565-9_3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-15565-9_3","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-15565-9_3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-15565-9_3","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1968768508","https://openalex.org/W2143891888","https://openalex.org/W2964303497","https://openalex.org/W2967394917","https://openalex.org/W2996001543","https://openalex.org/W2998004401","https://openalex.org/W3007111659","https://openalex.org/W3082925502","https://openalex.org/W3101981467","https://openalex.org/W3124373176","https://openalex.org/W6632396863"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Despite":[0],"notable":[1],"results":[2],"in":[3,73,127,146,156,171,182],"various":[4],"fields":[5],"over":[6],"the":[7,45,110,172],"recent":[8],"years,":[9],"deep":[10],"reinforcement":[11],"learning":[12],"(DRL)":[13],"algorithms":[14],"lack":[15],"transparency,":[16],"affecting":[17],"user":[18],"trust":[19],"and":[20,76,119,174,190],"hindering":[21],"deployment":[22,51],"to":[23,29,52,91,96,102,122,133],"high-risk":[24],"tasks.":[25],"Causal":[26],"confusion":[27,145],"refers":[28],"a":[30,192],"phenomenon":[31],"where":[32,55,159,178],"an":[33,67,78,140,147,184],"agent":[34,68,185],"learns":[35],"spurious":[36,71,114,188],"correlations":[37,57,72,115,161,189],"between":[38,162],"features":[39,82,163,195],"which":[40,84,142,183],"might":[41,58],"not":[42,165],"hold":[43],"across":[44],"entire":[46],"state":[47,131],"space,":[48,132],"preventing":[49],"safe":[50],"real":[53],"tasks":[54],"such":[56],"be":[59,198],"broken.":[60],"In":[61],"this":[62],"work,":[63],"we":[64],"examine":[65],"whether":[66],"relies":[69,186],"on":[70,83,116,187],"critical":[74],"states,":[75],"propose":[77,138],"alternative":[79,157],"subset":[80],"of":[81,105,112,130,194],"it":[85,93],"should":[86,197],"base":[87],"its":[88,117,154],"decisions":[89],"instead,":[90],"make":[92],"less":[94],"susceptible":[95],"causal":[97,135,144],"confusion.":[98,136],"Our":[99],"goal":[100],"is":[101],"increase":[103],"transparency":[104],"DRL":[106],"agents":[107],"by":[108,152],"exposing":[109],"influence":[111],"learned":[113],"decisions,":[118],"offering":[120],"advice":[121],"developers":[123],"about":[124],"feature":[125],"selection":[126],"different":[128],"parts":[129],"avoid":[134],"We":[137,167],"ReCCoVER,":[139],"algorithm":[141],"detects":[143,180],"agent\u2019s":[148],"reasoning":[149],"before":[150],"deployment,":[151],"executing":[153],"policy":[155],"environments":[158],"certain":[160],"do":[164],"hold.":[166],"demonstrate":[168],"our":[169],"approach":[170],"taxi":[173],"grid":[175],"world":[176],"environments,":[177],"ReCCoVER":[179],"states":[181],"offers":[191],"set":[193],"that":[196],"considered":[199],"instead.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}