{"id":"https://openalex.org/W2108760032","doi":null,"title":"Multi-strategy learning of search control for partial-order planning","display_name":"Multi-strategy learning of search control for partial-order planning","publication_year":1996,"publication_date":"1996-08-04","ids":{"openalex":"https://openalex.org/W2108760032","mag":"2108760032"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.26.6519","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.26.6519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-aig.jpl.nasa.gov/home/estlin/scope-aaai-96.ps","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016286806","display_name":"Tara A. Estlin","orcid":"https://orcid.org/0000-0002-0411-1205","observed_orcids":["https://orcid.org/0000-0002-0411-1205"]},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tara Estlin","raw_affiliation_strings":["Dept. of Computer Sciences, University of Texas at Austin, Austin TX"],"raw_orcid":"https://orcid.org/0000-0002-0411-1205","affiliations":[{"raw_affiliation_string":"Dept. of Computer Sciences, University of Texas at Austin, Austin TX","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008715111","display_name":"Raymond J. Mooney","orcid":"https://orcid.org/0000-0002-4504-0490","observed_orcids":["https://orcid.org/0000-0002-4504-0490"]},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raymond J. Mooney","raw_affiliation_strings":["Dept. of Computer Sciences, University of Texas at Austin, Austin TX"],"raw_orcid":"https://orcid.org/0000-0002-4504-0490","affiliations":[{"raw_affiliation_string":"Dept. of Computer Sciences, University of Texas at Austin, Austin TX","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":4.7372,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.9489951,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"843","last_page":"848"},"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":1.0,"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":1.0,"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":0.0,"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":0.0,"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/partial-order-planning","display_name":"partial-order planning","score":0.9480000138282776},{"id":"https://openalex.org/keywords/search-control","display_name":"search control","score":0.6729999780654907},{"id":"https://openalex.org/keywords/explanation-based-learning","display_name":"explanation-based learning","score":0.9020000100135803},{"id":"https://openalex.org/keywords/inductive-learning","display_name":"inductive learning","score":0.9929999709129333},{"id":"https://openalex.org/keywords/plan-refinement","display_name":"plan refinement","score":0.7960000038146973}],"concepts":[{"id":"https://openalex.org/C2776999362","wikidata":"https://www.wikidata.org/wiki/Q2349274","display_name":"Planner","level":2,"score":0.8781685829162598},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.8355938196182251},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7758792638778687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7134506702423096},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.61395263671875},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5905982255935669},{"id":"https://openalex.org/C114073186","wikidata":"https://www.wikidata.org/wiki/Q2631895","display_name":"Automated planning and scheduling","level":2,"score":0.5756453275680542},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4948248267173767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4797040820121765},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4738274812698364},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4590519666671753},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4520036578178406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38989517092704773},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08600682020187378},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.26.6519","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.26.6519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-aig.jpl.nasa.gov/home/estlin/scope-aaai-96.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.74.5939","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.74.5939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.utexas.edu/users/ml/papers/scope-aaai-96.pdf","raw_type":"text"},{"id":"mag:2108760032","doi":null,"is_oa":false,"landing_page_url":"http://www.cs.utexas.edu/~ml/papers/scope-aaai-96.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306420577","display_name":"National Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"National Conference on Artificial Intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W4789806","https://openalex.org/W10678874","https://openalex.org/W51446513","https://openalex.org/W55682247","https://openalex.org/W100388856","https://openalex.org/W1487503790","https://openalex.org/W1515486073","https://openalex.org/W1546388120","https://openalex.org/W1606754314","https://openalex.org/W1699282338","https://openalex.org/W1999138184","https://openalex.org/W2017626051","https://openalex.org/W2037689320","https://openalex.org/W2041734073","https://openalex.org/W2101602574","https://openalex.org/W2118742339","https://openalex.org/W2133772054","https://openalex.org/W2180885055"],"related_works":["https://openalex.org/W7100224383","https://openalex.org/W2106295282","https://openalex.org/W100388856","https://openalex.org/W2515079269","https://openalex.org/W7096464135","https://openalex.org/W1482096194","https://openalex.org/W55682247","https://openalex.org/W78434392","https://openalex.org/W7095261848","https://openalex.org/W7097337923"],"abstract_inverted_index":{"Most":[0,130],"research":[1],"in":[2,47,85,111,134],"planning":[3,74,88,92,114],"and":[4,32,113],"learning":[5,18,34,112],"has":[6,132],"involved":[7],"linear,":[8],"state-based":[9],"planners.":[10],"This":[11],"paper":[12],"presents":[13],"Scope,":[14],"a":[15,26,41,69,103,107],"system":[16,78],"for":[17,40,68,102],"search-control":[19,126],"rules":[20,39,45,67],"that":[21,53,123],"improve":[22],"the":[23,48,55,72],"performance":[24],"of":[25,50,71],"partial-order":[27,42],"planner.":[28,43],"Scope":[29,63],"integrates":[30],"explanation-based":[31],"inductive":[33],"techniques":[35],"to":[36,81,116],"acquire":[37,125],"control":[38,66],"Learned":[44],"are":[46],"form":[49],"selection":[51],"heuristics":[52,101],"help":[54],"planner":[56],"choose":[57],"between":[58],"competing":[59],"plan":[60],"refinements.":[61],"Specifically,":[62],"learns":[64],"domain-specific":[65,95],"version":[70],"UCPOP":[73],"algorithm.":[75],"The":[76],"resulting":[77],"is":[79,106],"shown":[80],"produce":[82],"significant":[83],"speedup":[84],"two":[86],"different":[87],"domains.":[89],"Introduction":[90],"Efficient":[91],"often":[93],"requires":[94],"search":[96],"heuristics;":[97],"however,":[98],"constructing":[99],"appropriate":[100],"new":[104],"domain":[105],"difficult":[108],"task.":[109],"Research":[110],"attempts":[115],"address":[117],"this":[118],"problem":[119],"by":[120],"developing":[121],"methods":[122],"automatically":[124],"knowledge":[127],"from":[128],"experience.":[129],"work":[131],"been":[133],"...":[135]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2016-06-24T00:00:00"}
