{"id":"https://openalex.org/W3090177724","doi":"https://doi.org/10.3233/faia200364","title":"Neural Network Heuristics for Classical Planning: A Study of Hyperparameter Space","display_name":"Neural Network Heuristics for Classical Planning: A Study of Hyperparameter Space","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3090177724","doi":"https://doi.org/10.3233/faia200364","mag":"3090177724"},"language":"en","primary_location":{"id":"doi:10.3233/faia200364","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200364","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia200364","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052941553","display_name":"Patrick Ferber","orcid":"https://orcid.org/0000-0003-2794-0126"},"institutions":[{"id":"https://openalex.org/I1850255","display_name":"University of Basel","ror":"https://ror.org/02s6k3f65","country_code":"CH","type":"education","lineage":["https://openalex.org/I1850255"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Ferber Patrick","raw_affiliation_strings":["University of Basel, Basel, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Basel, Basel, Switzerland","institution_ids":["https://openalex.org/I1850255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033577488","display_name":"Malte Helmert","orcid":"https://orcid.org/0009-0008-8462-350X"},"institutions":[{"id":"https://openalex.org/I1850255","display_name":"University of Basel","ror":"https://ror.org/02s6k3f65","country_code":"CH","type":"education","lineage":["https://openalex.org/I1850255"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Helmert Malte","raw_affiliation_strings":["University of Basel, Basel, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Basel, Basel, Switzerland","institution_ids":["https://openalex.org/I1850255"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hoffmann J\u00f6rg","orcid":null},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hoffmann J\u00f6rg","raw_affiliation_strings":["Saarland University, Saarbr\u00fccken, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saarland University, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I91712215"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5018,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.96930693,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"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":0.9984999895095825,"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":0.9984999895095825,"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":0.9797999858856201,"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/T13050","display_name":"Oil and Gas Production Techniques","score":0.9229000210762024,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/hyperparameter","display_name":"Hyperparameter","score":0.8823412656784058},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.8429871797561646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.602131724357605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.599590003490448},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5862575173377991},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5571628212928772},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5499151349067688},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5493412613868713},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.5169150829315186},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.4540345370769501},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4451196491718292},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24753719568252563},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07596278190612793},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06428781151771545}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8823412656784058},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.8429871797561646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.602131724357605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.599590003490448},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5862575173377991},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5571628212928772},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5499151349067688},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5493412613868713},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.5169150829315186},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.4540345370769501},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4451196491718292},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24753719568252563},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07596278190612793},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06428781151771545},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/faia200364","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200364","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:edoc.unibas.ch:78715","is_oa":true,"landing_page_url":null,"pdf_url":"https://edoc.unibas.ch/78715/1/20200929100534_5f72eace8f5ab.pdf","source":{"id":"https://openalex.org/S4306401836","display_name":"edoc (University of Basel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1850255","host_organization_name":"University of Basel","host_organization_lineage":["https://openalex.org/I1850255"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":{"id":"doi:10.3233/faia200364","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200364","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W132584314","https://openalex.org/W1545688112","https://openalex.org/W2122054842","https://openalex.org/W2131490903","https://openalex.org/W2137226992","https://openalex.org/W2143303446","https://openalex.org/W2157803532","https://openalex.org/W2158118484","https://openalex.org/W2194775991","https://openalex.org/W2732336841","https://openalex.org/W2810623284","https://openalex.org/W2911964244","https://openalex.org/W2960567166","https://openalex.org/W2964121744","https://openalex.org/W3021035068","https://openalex.org/W3101355526","https://openalex.org/W3106271432"],"related_works":["https://openalex.org/W2953665647","https://openalex.org/W4281646320","https://openalex.org/W4205712847","https://openalex.org/W3169687406","https://openalex.org/W1974336862","https://openalex.org/W4388119537","https://openalex.org/W3014750173","https://openalex.org/W3114025147","https://openalex.org/W4287818966","https://openalex.org/W3192751261"],"abstract_inverted_index":{"Neural":[0],"networks":[1],"(NN)":[2],"have":[3],"been":[4],"shown":[5],"to":[6,65,115],"be":[7,19,94],"powerful":[8],"state-value":[9],"predictors":[10],"in":[11,21,39,80],"several":[12],"complex":[13],"games.":[14],"Can":[15],"similar":[16],"suc-":[17],"cesses":[18],"achieved":[20],"classical":[22],"planning?":[23],"Towards":[24],"a":[25,34,59],"systematic":[26],"ex-":[27],"ploration":[28],"of":[29,36,62,120],"that":[30,89],"question,":[31],"we":[32],"contribute":[33],"study":[35,130],"hyperparameter":[37],"space":[38],"the":[40,110,118,132],"most":[41],"canonical":[42],"setup:":[43],"input":[44],"=":[45],"state,":[46],"feed-forward":[47],"NN,":[48],"supervised":[49],"learning,":[50],"generalization":[51],"only":[52],"over":[53],"initial":[54],"state.":[55],"We":[56,70],"inves":[57],"tigate":[58],"broad":[60],"range":[61,119],"hyperparameters":[63],"pertaining":[64],"NN":[66],"design":[67],"and":[68,117],"training.":[69],"evaluate":[71],"these":[72],"techniques":[73,104],"through":[74],"their":[75],"use":[76],"as":[77],"heuristic":[78,111],"functions":[79,112],"Fast":[81],"Downward.":[82],"The":[83],"results":[84],"on":[85,105,138],"IPC":[86],"benchmarks":[87],"show":[88],"highly":[90],"competitive":[91],"heuristics":[92,124],"can":[93],"learned,":[95],"yielding":[96],"substan":[97],"tially":[98],"smaller":[99],"search":[100],"spaces":[101],"than":[102],"standard":[103],"some":[106],"do":[107],"mains.":[108],"But":[109],"are":[113,125],"costly":[114],"evaluate,":[116],"domains":[121],"where":[122],"useful":[123],"learned":[126],"is":[127],"limited.":[128],"Our":[129],"provides":[131],"basis":[133],"for":[134],"further":[135],"research":[136],"improving":[137],"current":[139],"weaknesses.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
