{"id":"https://openalex.org/W4403793005","doi":"https://doi.org/10.24963/kr.2024/75","title":"Action Model Learning with Guarantees","display_name":"Action Model Learning with Guarantees","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403793005","doi":"https://doi.org/10.24963/kr.2024/75"},"language":"en","primary_location":{"id":"doi:10.24963/kr.2024/75","doi":"https://doi.org/10.24963/kr.2024/75","is_oa":true,"landing_page_url":"https://doi.org/10.24963/kr.2024/75","pdf_url":"https://proceedings.kr.org/2024/75/kr2024-0075-aineto-et-al.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the TwentyFirst International Conference on Principles of Knowledge Representation and Reasoning","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://proceedings.kr.org/2024/75/kr2024-0075-aineto-et-al.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045321018","display_name":"Diego Aineto","orcid":"https://orcid.org/0000-0001-8173-0109","observed_orcids":["https://orcid.org/0000-0001-8173-0109"]},"institutions":[{"id":"https://openalex.org/I79940851","display_name":"University of Brescia","ror":"https://ror.org/02q2d2610","country_code":"IT","type":"education","lineage":["https://openalex.org/I79940851"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Diego Aineto","raw_affiliation_strings":["Department of Information Engineering, University of Brescia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Brescia, Italy","institution_ids":["https://openalex.org/I79940851"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048276166","display_name":"Enrico Scala","orcid":"https://orcid.org/0000-0003-2274-875X","observed_orcids":["https://orcid.org/0000-0003-2274-875X"]},"institutions":[{"id":"https://openalex.org/I79940851","display_name":"University of Brescia","ror":"https://ror.org/02q2d2610","country_code":"IT","type":"education","lineage":["https://openalex.org/I79940851"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Enrico Scala","raw_affiliation_strings":["Department of Information Engineering, University of Brescia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Brescia, Italy","institution_ids":["https://openalex.org/I79940851"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I79940851"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18705084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"801","last_page":"811"},"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":0.9916999936103821,"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":0.9916999936103821,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.004800000227987766,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.0020000000949949026,"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/action-model-learning","display_name":"action model learning","score":0.9950000047683716},{"id":"https://openalex.org/keywords/version-space","display_name":"version space","score":0.9190000295639038},{"id":"https://openalex.org/keywords/sound-models","display_name":"sound models","score":0.6679999828338623},{"id":"https://openalex.org/keywords/online-learning-algorithms","display_name":"online learning algorithms","score":0.6129999756813049},{"id":"https://openalex.org/keywords/planning","display_name":"planning","score":0.36800000071525574},{"id":"https://openalex.org/keywords/convergence-guarantees","display_name":"convergence guarantees","score":0.3619999885559082}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6827040910720825},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6193856000900269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34949761629104614},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.24963/kr.2024/75","doi":"https://doi.org/10.24963/kr.2024/75","is_oa":true,"landing_page_url":"https://doi.org/10.24963/kr.2024/75","pdf_url":"https://proceedings.kr.org/2024/75/kr2024-0075-aineto-et-al.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the TwentyFirst International Conference on Principles of Knowledge Representation and Reasoning","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2404.09631","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.09631","pdf_url":"https://arxiv.org/pdf/2404.09631","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2404.09631","doi":"https://doi.org/10.48550/arxiv.2404.09631","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2404.09631","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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-journal"}],"best_oa_location":{"id":"doi:10.24963/kr.2024/75","doi":"https://doi.org/10.24963/kr.2024/75","is_oa":true,"landing_page_url":"https://doi.org/10.24963/kr.2024/75","pdf_url":"https://proceedings.kr.org/2024/75/kr2024-0075-aineto-et-al.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the TwentyFirst International Conference on Principles of Knowledge Representation and Reasoning","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403793005.pdf","grobid_xml":"https://content.openalex.org/works/W4403793005.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,13,34,44,65,79,97,110,125],"problem":[4],"of":[5,61,64,70,99,109,138],"action":[6,25,76],"model":[7,26],"learning":[8,14,27,45,101],"with":[9,43],"full":[10],"observability.":[11],"Following":[12],"by":[15,18],"search":[16,37],"paradigm":[17],"Mitchell,":[19],"we":[20,72],"develop":[21],"a":[22,58,136],"theory":[23],"for":[24,38],"based":[28],"on":[29],"version":[30],"spaces":[31],"that":[32,40,56],"interprets":[33],"task":[35],"as":[36],"hypotheses":[39],"are":[41,50],"consistent":[42],"samples.":[46],"Our":[47,130],"theoretical":[48],"findings":[49],"instantiated":[51],"in":[52],"an":[53],"online":[54],"algorithm":[55,102],"maintains":[57],"compact":[59],"representation":[60],"all":[62],"solutions":[63],"problem.":[66],"Among":[67],"this":[68],"range":[69,137],"solutions,":[71],"bring":[73],"attention":[74],"to":[75,95,103],"models":[77,114],"approximating":[78],"actual":[80],"transition":[81],"system":[82],"from":[83,88],"below":[84],"(sound":[85],"models)":[86],"and":[87,106,112,115],"above":[89],"(complete":[90],"models).":[91],"We":[92],"show":[93],"how":[94],"manipulate":[96],"output":[98],"our":[100],"build":[104],"deterministic":[105],"non-deterministic":[107],"formulations":[108,122],"sound":[111],"complete":[113],"prove":[116],"that,":[117],"given":[118],"enough":[119],"examples,":[120],"both":[121],"converge":[123],"into":[124],"very":[126],"same":[127],"true":[128],"model.":[129],"experiments":[131],"reveal":[132],"their":[133],"usefulness":[134],"over":[135],"planning":[139],"domains.":[140]},"counts_by_year":[],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2025-10-10T00:00:00"}
