{"id":"https://openalex.org/W7134856992","doi":"https://doi.org/10.48550/arxiv.2603.08599","title":"Bilevel Planning with Learned Symbolic Abstractions from Interaction Data","display_name":"Bilevel Planning with Learned Symbolic Abstractions from Interaction Data","publication_year":2026,"publication_date":"2026-03-09","ids":{"openalex":"https://openalex.org/W7134856992","doi":"https://doi.org/10.48550/arxiv.2603.08599"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.08599","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114338003","display_name":"Fatih Do\u011fang\u00fcn","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dogangun, Fatih","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128669815","display_name":"Burcu Kilic","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kilic, Burcu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036327356","display_name":"Serdar Bahar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bahar, Serdar","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5048165304","display_name":"Emre U\u011fur","orcid":"https://orcid.org/0000-0001-9597-2731"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ugur, Emre","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114338003"],"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.6013000011444092,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.6013000011444092,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.12139999866485596,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.09040000289678574,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/probabilistic-logic","display_name":"Probabilistic logic","score":0.6087999939918518},{"id":"https://openalex.org/keywords/the-symbolic","display_name":"The Symbolic","score":0.384799987077713},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.36820000410079956},{"id":"https://openalex.org/keywords/bilevel-optimization","display_name":"Bilevel optimization","score":0.36090001463890076},{"id":"https://openalex.org/keywords/symbolic-data-analysis","display_name":"Symbolic data analysis","score":0.3529999852180481},{"id":"https://openalex.org/keywords/symbolic-trajectory-evaluation","display_name":"Symbolic trajectory evaluation","score":0.30720001459121704}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7512000203132629},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6087999939918518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5602999925613403},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4032999873161316},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38580000400543213},{"id":"https://openalex.org/C2776095079","wikidata":"https://www.wikidata.org/wiki/Q489538","display_name":"The Symbolic","level":2,"score":0.384799987077713},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.36820000410079956},{"id":"https://openalex.org/C3309286","wikidata":"https://www.wikidata.org/wiki/Q4907693","display_name":"Bilevel optimization","level":3,"score":0.36090001463890076},{"id":"https://openalex.org/C65620979","wikidata":"https://www.wikidata.org/wiki/Q7661176","display_name":"Symbolic data analysis","level":2,"score":0.3529999852180481},{"id":"https://openalex.org/C23123167","wikidata":"https://www.wikidata.org/wiki/Q7661193","display_name":"Symbolic trajectory evaluation","level":3,"score":0.30720001459121704},{"id":"https://openalex.org/C2779639559","wikidata":"https://www.wikidata.org/wiki/Q7661178","display_name":"Symbolic execution","level":3,"score":0.2904999852180481},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.25589999556541443}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.08599","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.08599","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.08599","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2603.08599","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"score":0.6032664775848389,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Intelligent":[0],"agents":[1],"must":[2],"reason":[3],"over":[4],"both":[5],"continuous":[6,65,96,140],"dynamics":[7,66],"and":[8,53,94,102,133],"discrete":[9],"representations":[10],"to":[11,47,62,139],"generate":[12,86],"effective":[13],"plans":[14,88,101,130],"in":[15,80],"complex":[16],"environments.":[17],"Previous":[18],"studies":[19],"have":[20],"shown":[21],"that":[22,119],"symbolic":[23,43,51,84,149],"abstractions":[24],"can":[25],"emerge":[26],"from":[27],"neural":[28],"effect":[29,97],"predictors":[30],"trained":[31],"with":[32],"a":[33,76],"robot's":[34],"unsupervised":[35],"exploration.":[36],"However,":[37],"these":[38,72,100],"methods":[39],"rely":[40],"on":[41,114],"deterministic":[42],"domains,":[44],"lack":[45],"mechanisms":[46],"verify":[48,99],"the":[49,57,64,68,91,109,120],"generated":[50],"plans,":[52],"operate":[54],"only":[55],"at":[56,90,108],"abstract":[58],"level,":[59,93],"often":[60],"failing":[61,129],"capture":[63],"of":[67],"environment.":[69],"To":[70],"overcome":[71],"limitations,":[73],"we":[74],"propose":[75],"bilevel":[77,122],"neuro-symbolic":[78],"framework":[79],"which":[81],"learned":[82,95],"probabilistic":[83],"rules":[85],"candidate":[87],"rapidly":[89],"high":[92],"models":[98],"perform":[103],"forward":[104,141],"search":[105,142],"when":[106],"necessary":[107],"low":[110],"level.":[111],"Our":[112],"experiments":[113],"multi-object":[115],"manipulation":[116],"tasks":[117],"demonstrate":[118],"proposed":[121],"method":[123],"outperforms":[124],"symbolic-only":[125],"approaches,":[126],"reliably":[127],"identifying":[128],"through":[131],"verification,":[132],"achieves":[134],"planning":[135],"performance":[136],"statistically":[137],"comparable":[138],"while":[143],"resolving":[144],"most":[145],"problems":[146],"via":[147],"efficient":[148],"reasoning.":[150]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-03-11T00:00:00"}
