{"id":"https://openalex.org/W7133485634","doi":"https://doi.org/10.48550/arxiv.2603.02356","title":"Learning Optimal Search Strategies","display_name":"Learning Optimal Search Strategies","publication_year":2026,"publication_date":"2026-03-02","ids":{"openalex":"https://openalex.org/W7133485634","doi":"https://doi.org/10.48550/arxiv.2603.02356"},"language":"en","primary_location":{"id":"pmh:oai:HAL:hal-05482741v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05482741","pdf_url":"https://hal.science/hal-05482741/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2026","raw_type":"Preprints, Working Papers, ..."},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-05482741/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034791762","display_name":"Stefan Ankirchner","orcid":"https://orcid.org/0000-0001-8216-6335"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ankirchner, Stefan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128076074","display_name":"Maximilian Philipp Thiel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thiel, Maximilian Philipp","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034791762"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.819100022315979,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.819100022315979,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.08619999885559082,"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":0.020099999383091927,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.8136000037193298},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.6955000162124634},{"id":"https://openalex.org/keywords/minimax","display_name":"Minimax","score":0.6766999959945679},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4702000021934509},{"id":"https://openalex.org/keywords/jump","display_name":"Jump","score":0.44179999828338623},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.43220001459121704},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.3781999945640564}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.8136000037193298},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.6955000162124634},{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.6766999959945679},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5871999859809875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.53329998254776},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4702000021934509},{"id":"https://openalex.org/C2780695682","wikidata":"https://www.wikidata.org/wiki/Q4005959","display_name":"Jump","level":2,"score":0.44179999828338623},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43220001459121704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3961000144481659},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.3781999945640564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.290800005197525},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2786000072956085},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C99414536","wikidata":"https://www.wikidata.org/wiki/Q7098950","display_name":"Optimal stopping","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C97831314","wikidata":"https://www.wikidata.org/wiki/Q6667307","display_name":"Logarithmic growth","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.2524999976158142},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:HAL:hal-05482741v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05482741","pdf_url":"https://hal.science/hal-05482741/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2026","raw_type":"Preprints, Working Papers, ..."},{"id":"doi:10.48550/arxiv.2603.02356","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02356","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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-05482741v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05482741","pdf_url":"https://hal.science/hal-05482741/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2026","raw_type":"Preprints, Working Papers, ..."},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7133485634.pdf","grobid_xml":"https://content.openalex.org/works/W7133485634.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,43,63],"explore":[1],"the":[2,13,53,59,90,94],"question":[3],"of":[4,15,78,93],"how":[5],"to":[6,24],"learn":[7],"an":[8,25,40,45],"optimal":[9,31],"search":[10],"strategy":[11],"within":[12],"example":[14],"a":[16,34,69,75,83],"parking":[17,20],"problem":[18],"where":[19],"opportunities":[21],"arrive":[22],"according":[23],"unknown":[26],"inhomogeneous":[27],"Poisson":[28],"process.":[29],"The":[30],"policy":[32],"is":[33],"threshold-type":[35],"stopping":[36],"rule":[37],"characterized":[38],"by":[39,51],"indifference":[41],"position.":[42],"propose":[44],"algorithm":[46,67],"that":[47,65],"learns":[48],"this":[49],"threshold":[50],"estimating":[52],"integrated":[54],"jump":[55],"intensity":[56,60],"rather":[57],"than":[58],"function":[61],"itself.":[62],"show":[64],"our":[66],"achieves":[68],"logarithmic":[70,84],"regret":[71,86],"growth,":[72],"uniformly":[73],"over":[74],"broad":[76],"class":[77],"environments.":[79],"Moreover,":[80],"we":[81],"prove":[82],"minimax":[85],"lower":[87],"bound,":[88],"establishing":[89],"growth":[91],"optimality":[92],"proposed":[95],"approach.":[96]},"counts_by_year":[],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2026-03-05T00:00:00"}
