{"id":"https://openalex.org/W4404307030","doi":"https://doi.org/10.48550/arxiv.2410.18608","title":"Learning Transparent Reward Models via Unsupervised Feature Selection","display_name":"Learning Transparent Reward Models via Unsupervised Feature Selection","publication_year":2024,"publication_date":"2024-10-24","ids":{"openalex":"https://openalex.org/W4404307030","doi":"https://doi.org/10.48550/arxiv.2410.18608"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2410.18608","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.18608","pdf_url":"https://arxiv.org/pdf/2410.18608","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2410.18608","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082502206","display_name":"Daulet Baimukashev","orcid":"https://orcid.org/0000-0002-1432-8205"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Baimukashev, Daulet","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014059943","display_name":"G\u00f6khan Alcan","orcid":"https://orcid.org/0000-0003-3025-5883"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alcan, Gokhan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040226194","display_name":"Kevin Sebastian Luck","orcid":"https://orcid.org/0000-0003-2228-203X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luck, Kevin Sebastian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5080940147","display_name":"Ville Kyrki","orcid":"https://orcid.org/0000-0002-5230-5549"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kyrki, Ville","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082502206"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.5767999887466431,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.5767999887466431,"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/feature-selection","display_name":"Feature selection","score":0.622231125831604},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5904499292373657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.586118757724762},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5840448141098022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5775067806243896},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.48084673285484314},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43929019570350647},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.356067419052124}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.622231125831604},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5904499292373657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.586118757724762},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5840448141098022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5775067806243896},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.48084673285484314},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43929019570350647},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.356067419052124},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2410.18608","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.18608","pdf_url":"https://arxiv.org/pdf/2410.18608","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2410.18608","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2410.18608","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2410.18608","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.18608","pdf_url":"https://arxiv.org/pdf/2410.18608","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404307030.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4386564352","https://openalex.org/W2952668426","https://openalex.org/W3196155444","https://openalex.org/W4321844043","https://openalex.org/W3210156800","https://openalex.org/W4390062853","https://openalex.org/W4297883248","https://openalex.org/W4255830763","https://openalex.org/W1583266947","https://openalex.org/W4286799911"],"abstract_inverted_index":{"In":[0],"complex":[1],"real-world":[2],"tasks":[3],"such":[4],"as":[5],"robotic":[6,114],"manipulation":[7],"and":[8,23,72,88,118],"autonomous":[9],"driving,":[10],"collecting":[11],"expert":[12,28,97],"demonstrations":[13],"is":[14],"often":[15],"more":[16],"straightforward":[17],"than":[18],"specifying":[19],"precise":[20],"learning":[21,38,91,103],"objectives":[22],"task":[24],"descriptions.":[25],"Learning":[26],"from":[27,76,105],"data":[29,53],"can":[30],"be":[31],"achieved":[32],"through":[33],"behavioral":[34],"cloning":[35],"or":[36],"by":[37,59,99],"a":[39,66],"reward":[40,62,74],"function,":[41],"i.e.,":[42],"inverse":[43],"reinforcement":[44,102],"learning.":[45],"The":[46],"latter":[47],"allows":[48],"for":[49],"training":[50,56,100],"with":[51,116],"additional":[52],"outside":[54],"the":[55,60,90],"distribution,":[57],"guided":[58],"inferred":[61,82],"function.":[63],"We":[64,107],"propose":[65],"novel":[67],"approach":[68],"to":[69],"construct":[70],"compact":[71],"transparent":[73],"models":[75],"automatically":[77],"selected":[78],"state":[79,120],"features.":[80],"These":[81],"rewards":[83],"have":[84],"an":[85],"explicit":[86],"form":[87],"enable":[89],"of":[92],"policies":[93],"that":[94],"closely":[95],"match":[96],"behavior":[98],"standard":[101],"algorithms":[104],"scratch.":[106],"validate":[108],"our":[109],"method's":[110],"performance":[111],"in":[112],"various":[113],"environments":[115],"continuous":[117],"high-dimensional":[119],"spaces.":[121],"Webpage:":[122],"\\url{https://sites.google.com/view/transparent-reward}.":[123]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}