{"id":"https://openalex.org/W3130150161","doi":"https://doi.org/10.1109/iros45743.2020.9340809","title":"Learning Transition Models with Time-delayed Causal Relations","display_name":"Learning Transition Models with Time-delayed Causal Relations","publication_year":2020,"publication_date":"2020-10-24","ids":{"openalex":"https://openalex.org/W3130150161","doi":"https://doi.org/10.1109/iros45743.2020.9340809","mag":"3130150161"},"language":"en","primary_location":{"id":"doi:10.1109/iros45743.2020.9340809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros45743.2020.9340809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"article","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/A5040549956","display_name":"Junchi Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junchi Liang","raw_affiliation_strings":["Rutgers University, Piscataway, New Jersey, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University, Piscataway, New Jersey, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068615270","display_name":"Abdeslam Boularias","orcid":"https://orcid.org/0000-0002-5587-4560"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abdeslam Boularias","raw_affiliation_strings":["Rutgers University, Piscataway, New Jersey, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University, Piscataway, New Jersey, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2708,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66871388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"8087","last_page":"8093"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9998999834060669,"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":0.9998999834060669,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9643999934196472,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9136999845504761,"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/interpretability","display_name":"Interpretability","score":0.888007402420044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.747484564781189},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6074357628822327},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5920466780662537},{"id":"https://openalex.org/keywords/transition","display_name":"Transition (genetics)","score":0.5703145265579224},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5421299934387207},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49408796429634094},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.43068718910217285},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.41276246309280396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11700606346130371}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.888007402420044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.747484564781189},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6074357628822327},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5920466780662537},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.5703145265579224},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5421299934387207},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49408796429634094},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.43068718910217285},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.41276246309280396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11700606346130371},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iros45743.2020.9340809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros45743.2020.9340809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},{"id":"pmh:oai:alma.01RUT_INST:11664970820004646","is_oa":false,"landing_page_url":"https://scholarship.libraries.rutgers.edu/esploro/outputs/conferenceProceeding/Learning-Transition-Models-with-Time-delayed-Causal/991031665647304646","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1540337045","https://openalex.org/W1589170661","https://openalex.org/W1757796397","https://openalex.org/W2101355568","https://openalex.org/W2118688707","https://openalex.org/W2122458975","https://openalex.org/W2141690016","https://openalex.org/W2518713116","https://openalex.org/W2528489519","https://openalex.org/W2552391307","https://openalex.org/W2569188995","https://openalex.org/W2601322194","https://openalex.org/W2606047872","https://openalex.org/W2624780181","https://openalex.org/W2745461083","https://openalex.org/W2786344118","https://openalex.org/W2787365188","https://openalex.org/W2793273050","https://openalex.org/W2885013662","https://openalex.org/W2950004691","https://openalex.org/W2952915411","https://openalex.org/W2962764591","https://openalex.org/W2962824919","https://openalex.org/W2963094133","https://openalex.org/W2963403868","https://openalex.org/W2963634205","https://openalex.org/W2963663923","https://openalex.org/W2964043796","https://openalex.org/W2964348070","https://openalex.org/W4289294484","https://openalex.org/W4293862243","https://openalex.org/W4298857966","https://openalex.org/W4385245566","https://openalex.org/W6630875275","https://openalex.org/W6632428414","https://openalex.org/W6637967152","https://openalex.org/W6677477928","https://openalex.org/W6678304456","https://openalex.org/W6692846177","https://openalex.org/W6726754200","https://openalex.org/W6729508183","https://openalex.org/W6735944222","https://openalex.org/W6736803224","https://openalex.org/W6738539399","https://openalex.org/W6739416393","https://openalex.org/W6739901393","https://openalex.org/W6748619897","https://openalex.org/W6748807511","https://openalex.org/W6749075489","https://openalex.org/W6753875701","https://openalex.org/W6756256016"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2,48],"an":[3],"algorithm":[4,38],"for":[5,92],"discovering":[6],"implicit":[7],"and":[8,27,46,54,86,97],"delayed":[9],"causal":[10],"relations":[11],"between":[12],"events":[13,75],"observed":[14],"by":[15,79],"a":[16],"robot":[17],"at":[18],"arbitrary":[19],"times,":[20],"with":[21,42],"the":[22,43,56,59],"objective":[23],"of":[24,29,58,70],"improving":[25],"data-efficiency":[26],"interpretability":[28],"model-":[30],"based":[31],"reinforcement":[32],"learning":[33],"(RL)":[34],"techniques.":[35,110],"The":[36,61,83],"proposed":[37],"initially":[39],"predicts":[40],"observations":[41],"Markov":[44],"assumption,":[45],"incrementally":[47],"new":[49],"hidden":[50,62],"variables":[51,63],"to":[52],"explain":[53],"reduce":[55],"stochasticity":[57],"observations.":[60],"are":[64,76,89],"memory":[65],"units":[66],"that":[67,102],"keep":[68],"track":[69],"pertinent":[71],"past":[72],"events.":[73],"Such":[74],"systematically":[77],"identified":[78],"their":[80],"information":[81],"gains.":[82],"learned":[84],"transition":[85],"reward":[87],"models":[88],"then":[90],"used":[91],"planning.":[93],"Experiments":[94],"on":[95],"simulated":[96],"real":[98],"robotic":[99],"tasks":[100],"show":[101],"this":[103],"method":[104],"significantly":[105],"improves":[106],"over":[107],"current":[108],"RL":[109]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}