{"id":"https://openalex.org/W129796485","doi":null,"title":"Discovering relational domain features for probabilistic planning","display_name":"Discovering relational domain features for probabilistic planning","publication_year":2007,"publication_date":"2007-09-22","ids":{"openalex":"https://openalex.org/W129796485","mag":"129796485"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.585.9044","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.585.9044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.aaai.org/Papers/ICAPS/2007/ICAPS07-044.pdf","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/A5102670626","display_name":"Jia\u2010Hong Wu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jia\u2010Hong Wu","raw_affiliation_strings":["Electrical and Computer Engineering, Purdue University, W. Lafayette, IN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Purdue University, W. Lafayette, IN","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007751369","display_name":"Robert L. Givan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Givan","raw_affiliation_strings":["Electrical and Computer Engineering, Purdue University, W. Lafayette, IN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Purdue University, W. Lafayette, IN","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":2.1482,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.88022596,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"344","last_page":"351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.8593999743461609,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.8593999743461609,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.13590000569820404,"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":0.002199999988079071,"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/relational-features","display_name":"relational features","score":0.6230000257492065},{"id":"https://openalex.org/keywords/representation-learning","display_name":"representation learning","score":0.8019999861717224},{"id":"https://openalex.org/keywords/probabilistic-planning","display_name":"probabilistic planning","score":0.8930000066757202},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.9300000071525574},{"id":"https://openalex.org/keywords/approximate-value-iteration","display_name":"approximate value iteration","score":0.8379999995231628},{"id":"https://openalex.org/keywords/stochastic-planning","display_name":"stochastic planning","score":0.7590000033378601},{"id":"https://openalex.org/keywords/tetris","display_name":"Tetris","score":0.6359999775886536}],"concepts":[{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.6605092287063599},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6388018131256104},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6332005262374878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6028623580932617},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6006320118904114},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.5648009181022644},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5642285943031311},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5465542674064636},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48000568151474},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4552340805530548},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.43287983536720276},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.42567330598831177},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3385196924209595},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.29368314146995544},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25864845514297485},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23271772265434265},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.16048911213874817},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.585.9044","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.585.9044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.aaai.org/Papers/ICAPS/2007/ICAPS07-044.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.76.7963","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.76.7963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dynamo.ecn.purdue.edu/~givan/papers/icaps07-jw.pdf","raw_type":"text"},{"id":"mag:129796485","doi":null,"is_oa":false,"landing_page_url":"https://www.aaai.org/Papers/ICAPS/2007/ICAPS07-044.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419157","display_name":"International Conference on Automated Planning and Scheduling","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":"International Conference on Automated Planning and Scheduling","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":19,"referenced_works":["https://openalex.org/W11088338","https://openalex.org/W127341816","https://openalex.org/W198956113","https://openalex.org/W1515851193","https://openalex.org/W1519179592","https://openalex.org/W1530573725","https://openalex.org/W1535810436","https://openalex.org/W1576452626","https://openalex.org/W1654728867","https://openalex.org/W1874230510","https://openalex.org/W2064203730","https://openalex.org/W2100677568","https://openalex.org/W2109722166","https://openalex.org/W2126902640","https://openalex.org/W2131600418","https://openalex.org/W2396715201","https://openalex.org/W2911283634","https://openalex.org/W2914656440","https://openalex.org/W3020831056"],"related_works":["https://openalex.org/W2107073969","https://openalex.org/W2902379467","https://openalex.org/W7095519855","https://openalex.org/W1581066016","https://openalex.org/W3031205423","https://openalex.org/W2475060710","https://openalex.org/W174354460","https://openalex.org/W1519179592","https://openalex.org/W3038039195","https://openalex.org/W4403317540"],"abstract_inverted_index":{"In":[0],"sequential":[1],"decision-making":[2],"problems":[3],"formulated":[4],"as":[5],"Markov":[6],"decision":[7],"processes,":[8],"state-value":[9],"function":[10,97],"approxima-tion":[11],"using":[12],"domain":[13,34,62,67],"features":[14,35,49,76,83],"is":[15],"a":[16,71,78,112],"critical":[17],"technique":[18,148],"for":[19,77,137,140,152,158],"scaling":[20],"up":[21],"the":[22,28,65,90,94,105,116,150],"feasible":[23],"problem":[24,29,37],"size.":[25],"We":[26,69],"consider":[27],"of":[30,93],"automatically":[31,100],"finding":[32],"useful":[33,122],"in":[36,115,161],"do-mains":[38],"that":[39,146],"exhibit":[40],"relational":[41,48,75,162],"structure.":[42],"Specifically":[43],"we":[44,55],"con-sider":[45],"learning":[46,128,156],"compact":[47],"without":[50],"input":[51],"from":[52],"human":[53],"expertise;":[54],"use":[56],"neither":[57],"expert":[58],"decisions":[59],"nor":[60],"hu-man":[61],"knowledge":[63],"beyond":[64],"basic":[66],"definition.":[68],"propose":[70],"method":[72,120],"to":[73,89,104],"learn":[74],"linear":[79],"value-function":[80,117],"representation\u2014numerically":[81],"valued":[82],"are":[84,99],"selected":[85],"by":[86,125],"their":[87],"fit":[88],"Bellman":[91],"residual":[92],"cur-rent":[95],"value":[96,123,131],"and":[98,102,139,157],"learned":[101],"added":[103],"representation":[106],"when":[107],"needed.":[108],"Starting":[109],"with":[110,129],"only":[111],"trivial":[113],"feature":[114,127,155],"representation,":[118],"our":[119,147],"finds":[121],"functions":[124],"combining":[126],"approximate":[130],"iteration.":[132],"Empirical":[133],"work":[134],"presented":[135],"here":[136],"Tetris":[138],"probabilistic":[141],"planning":[142,160],"competition":[143],"domains":[144],"shows":[145],"represents":[149],"state-of-the-art":[151],"both":[153],"domain-independent":[154],"stochastic":[159],"domains.":[163]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}