{"id":"https://openalex.org/W2161252410","doi":"https://doi.org/10.1145/1390156.1390238","title":"Automatic discovery and transfer of MAXQ hierarchies","display_name":"Automatic discovery and transfer of MAXQ hierarchies","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2161252410","doi":"https://doi.org/10.1145/1390156.1390238","mag":"2161252410"},"language":"en","primary_location":{"id":"doi:10.1145/1390156.1390238","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1390156.1390238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th international conference on Machine learning - ICML '08","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5046590402","display_name":"Neville Mehta","orcid":null},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neville Mehta","raw_affiliation_strings":["Oregon State University, Corvallis, OR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oregon State University, Corvallis, OR","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055101678","display_name":"Soumya Ray","orcid":"https://orcid.org/0000-0002-6673-6796"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soumya Ray","raw_affiliation_strings":["Oregon State University, Corvallis, OR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oregon State University, Corvallis, OR","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014260664","display_name":"Prasad Tadepalli","orcid":"https://orcid.org/0000-0003-2736-3912"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prasad Tadepalli","raw_affiliation_strings":["Oregon State University, Corvallis, OR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oregon State University, Corvallis, OR","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074537073","display_name":"Thomas G. Dietterich","orcid":"https://orcid.org/0000-0002-8223-8586"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Dietterich","raw_affiliation_strings":["Oregon State University, Corvallis, OR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oregon State University, Corvallis, OR","institution_ids":["https://openalex.org/I131249849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I131249849"],"apc_list":null,"apc_paid":null,"fwci":5.5406,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":{"value":0.96900652,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"648","last_page":"655"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9990000128746033,"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":0.9990000128746033,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9944999814033508,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9925000071525574,"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/computer-science","display_name":"Computer science","score":0.8494559526443481},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.8093315958976746},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.7273461222648621},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.7163364291191101},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7064592838287354},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6815878748893738},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5491138696670532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5170314908027649},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4906700849533081},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4278911054134369},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.42071253061294556},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38135120272636414},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20268702507019043},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.07781946659088135}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8494559526443481},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8093315958976746},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.7273461222648621},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.7163364291191101},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7064592838287354},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6815878748893738},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5491138696670532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5170314908027649},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4906700849533081},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4278911054134369},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.42071253061294556},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38135120272636414},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20268702507019043},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.07781946659088135},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1390156.1390238","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1390156.1390238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th international conference on Machine learning - ICML '08","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.139.2666","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.139.2666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://icml2008.cs.helsinki.fi/papers/458.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.352.5169","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.352.5169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://engr.case.edu/ray_soumya/papers/maxq.icml08.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1511612612","https://openalex.org/W1536990779","https://openalex.org/W1586944634","https://openalex.org/W1598052524","https://openalex.org/W1968768508","https://openalex.org/W1976800061","https://openalex.org/W2089561656","https://openalex.org/W2109910161","https://openalex.org/W2114451917","https://openalex.org/W2121517924","https://openalex.org/W2143435603","https://openalex.org/W2153668164","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W2597809628","https://openalex.org/W2111089054"],"abstract_inverted_index":{"We":[0,70],"present":[1],"an":[2],"algorithm,":[3],"HI-MAT":[4,32,51,74],"(Hierarchy":[5],"Induction":[6],"via":[7],"Models":[8],"And":[9],"Trajectories),":[10],"that":[11,54,73,78],"discovers":[12,33],"MAXQ":[13],"task":[14],"hierarchies":[15,53,77,83],"by":[16,35],"applying":[17],"dynamic":[18],"Bayesian":[19],"network":[20],"models":[21],"to":[22,81,92],"a":[23,27,93],"successful":[24],"trajectory":[25,60],"from":[26],"source":[28],"reinforcement":[29],"learning":[30,89],"task.":[31,95],"subtasks":[34],"analyzing":[36],"the":[37,43,46,58],"causal":[38],"and":[39,61,84],"temporal":[40],"relationships":[41],"among":[42],"actions":[44],"in":[45,88],"trajectory.":[47],"Under":[48],"appropriate":[49],"assumptions,":[50],"induces":[52],"are":[55,79],"consistent":[56],"with":[57],"observed":[59],"have":[62],"compact":[63,76],"value-function":[64],"tables":[65],"employing":[66],"safe":[67],"state":[68],"abstractions.":[69],"demonstrate":[71],"empirically":[72],"constructs":[75],"comparable":[80],"manually-engineered":[82],"facilitate":[85],"significant":[86],"speedup":[87],"when":[90],"transferred":[91],"target":[94]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":13}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}
