乐胖代购免代理版

{"id":"https://openalex.org/W4320855409","doi":"https://doi.org/10.48550/arxiv.2205.15376","title":"Reinforcement Learning with a Terminator","display_name":"Reinforcement Learning with a Terminator","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4320855409","doi":"https://doi.org/10.48550/arxiv.2205.15376"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2205.15376","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2205.15376","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049376842","display_name":"Guy Tennenholtz","orcid":"https://orcid.org/0000-0002-2727-2351"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tennenholtz, Guy","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018784842","display_name":"Nadav Merlis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Merlis, Nadav","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049062714","display_name":"Lior Shani","orcid":"https://orcid.org/0000-0003-1504-0534"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shani, Lior","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036260775","display_name":"Shie Mannor","orcid":"https://orcid.org/0000-0003-4439-7647"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mannor, Shie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039663119","display_name":"Uri Shalit","orcid":"https://orcid.org/0000-0002-4026-2692"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shalit, Uri","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045719865","display_name":"Gal Chechik","orcid":"https://orcid.org/0000-0001-9164-5303"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chechik, Gal","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086904615","display_name":"Assaf Hallak","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hallak, Assaf","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5088301119","display_name":"Gal Dalal","orcid":"https://orcid.org/0000-0002-3166-4251"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dalal, Gal","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":60},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9919,"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":0.9919,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9645,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.962,"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/leverage","display_name":"Leverage (statistics)","score":0.7283639},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.4126499}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.8810624},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.76013476},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7283639},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7176502},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.58651984},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.50929725},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47544217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4448761},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4428871},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.42839545},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.4126499},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3637557},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1337175},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2205.15376","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2205.15376","pdf_url":"http://arxiv.org/pdf/2205.15376","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2205.15376","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2205.15376","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"score":0.82,"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4292701710","https://openalex.org/W4287863949","https://openalex.org/W4287102143","https://openalex.org/W3182614517","https://openalex.org/W3096874164","https://openalex.org/W2970347269","https://openalex.org/W2945119207","https://openalex.org/W1985560493","https://openalex.org/W1925875298","https://openalex.org/W1850488217"],"abstract_inverted_index":{"We":[0,10,55,75,117],"present":[1],"the":[2,12,21,57,60,64,67,114],"problem":[3,69],"of":[4,20,53,59,66],"reinforcement":[5],"learning":[6],"with":[7],"exogenous":[8],"termination.":[9],"define":[11],"Termination":[13],"Markov":[14],"Decision":[15],"Process":[16],"(TerMDP),":[17],"an":[18,31,47],"extension":[19],"MDP":[22],"framework,":[23],"in":[24,135],"which":[25,83,103],"episodes":[26],"may":[27],"be":[28],"interrupted":[29],"by":[30,92],"external":[32],"non-Markovian":[33],"observer.":[34],"This":[35],"formulation":[36],"accounts":[37,84],"for":[38,51,85],"numerous":[39],"real-world":[40],"situations,":[41],"such":[42],"as":[43],"a":[44,80,100,109,136],"human":[45,133],"interrupting":[46],"autonomous":[48],"driving":[49,123,137],"agent":[50],"reasons":[52],"discomfort.":[54],"learn":[56],"parameters":[58],"TerMDP":[61],"and":[62,87,98,108,124,144],"leverage":[63],"structure":[65],"estimation":[68],"to":[70,78],"provide":[71],"state-wise":[72],"confidence":[73],"bounds.":[74],"use":[76],"these":[77],"construct":[79],"provably-efficient":[81],"algorithm,":[82],"termination,":[86],"bound":[88],"its":[89],"regret.":[90],"Motivated":[91],"our":[93,119,130],"theoretical":[94],"analysis,":[95],"we":[96,128],"design":[97],"implement":[99],"scalable":[101],"approach,":[102],"combines":[104],"optimism":[105],"(w.r.t.":[106],"termination)":[107],"dynamic":[110],"discount":[111],"factor,":[112],"incorporating":[113],"termination":[115],"probability.":[116],"deploy":[118],"method":[120],"on":[121,132],"high-dimensional":[122],"MinAtar":[125],"benchmarks.":[126],"Additionally,":[127],"test":[129],"approach":[131],"data":[134],"setting.":[138],"Our":[139],"results":[140],"demonstrate":[141],"fast":[142],"convergence":[143],"significant":[145],"improvement":[146],"over":[147],"various":[148],"baseline":[149],"approaches.":[150]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4320855409","counts_by_year":[],"updated_date":"2024-12-09T22:02:08.325461","created_date":"2023-02-16"}