{"id":"https://openalex.org/W4311899043","doi":"https://doi.org/10.1088/2632-2153/aca7b0","title":"Active particles using reinforcement learning to navigate in complex motility landscapes","display_name":"Active particles using reinforcement learning to navigate in complex motility landscapes","publication_year":2022,"publication_date":"2022-11-30","ids":{"openalex":"https://openalex.org/W4311899043","doi":"https://doi.org/10.1088/2632-2153/aca7b0"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/aca7b0","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/aca7b0","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/aca7b0/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://iopscience.iop.org/article/10.1088/2632-2153/aca7b0/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021880636","display_name":"Paul A. Monderkamp","orcid":null},"institutions":[{"id":"https://openalex.org/I44260953","display_name":"Heinrich Heine University D\u00fcsseldorf","ror":"https://ror.org/024z2rq82","country_code":"DE","type":"education","lineage":["https://openalex.org/I44260953"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Paul A Monderkamp","raw_affiliation_strings":["Institut f\u00fcr Theoretische Physik II: Weiche Materie, Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf, Universit\u00e4tsstra\u00dfe 1, 40225 D\u00fcsseldorf, Germany"],"raw_orcid":"https://orcid.org/0000-0001-5244-1586","affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Theoretische Physik II: Weiche Materie, Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf, Universit\u00e4tsstra\u00dfe 1, 40225 D\u00fcsseldorf, Germany","institution_ids":["https://openalex.org/I44260953"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080580653","display_name":"Fabian Jan Schwarzendahl","orcid":"https://orcid.org/0000-0002-5779-3772"},"institutions":[{"id":"https://openalex.org/I44260953","display_name":"Heinrich Heine University D\u00fcsseldorf","ror":"https://ror.org/024z2rq82","country_code":"DE","type":"education","lineage":["https://openalex.org/I44260953"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fabian Jan Schwarzendahl","raw_affiliation_strings":["Institut f\u00fcr Theoretische Physik II: Weiche Materie, Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf, Universit\u00e4tsstra\u00dfe 1, 40225 D\u00fcsseldorf, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5779-3772","affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Theoretische Physik II: Weiche Materie, Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf, Universit\u00e4tsstra\u00dfe 1, 40225 D\u00fcsseldorf, Germany","institution_ids":["https://openalex.org/I44260953"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023280209","display_name":"Michael A. Klatt","orcid":"https://orcid.org/0000-0002-1029-5960"},"institutions":[{"id":"https://openalex.org/I44260953","display_name":"Heinrich Heine University D\u00fcsseldorf","ror":"https://ror.org/024z2rq82","country_code":"DE","type":"education","lineage":["https://openalex.org/I44260953"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael A Klatt","raw_affiliation_strings":["Institut f\u00fcr Theoretische Physik II: Weiche Materie, Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf, Universit\u00e4tsstra\u00dfe 1, 40225 D\u00fcsseldorf, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1029-5960","affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Theoretische Physik II: Weiche Materie, Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf, Universit\u00e4tsstra\u00dfe 1, 40225 D\u00fcsseldorf, Germany","institution_ids":["https://openalex.org/I44260953"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028221319","display_name":"Hartmut L\u00f6wen","orcid":"https://orcid.org/0000-0001-5376-8062"},"institutions":[{"id":"https://openalex.org/I44260953","display_name":"Heinrich Heine University D\u00fcsseldorf","ror":"https://ror.org/024z2rq82","country_code":"DE","type":"education","lineage":["https://openalex.org/I44260953"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hartmut L\u00f6wen","raw_affiliation_strings":["Institut f\u00fcr Theoretische Physik II: Weiche Materie, Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf, Universit\u00e4tsstra\u00dfe 1, 40225 D\u00fcsseldorf, Germany"],"raw_orcid":"https://orcid.org/0000-0001-5376-8062","affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Theoretische Physik II: Weiche Materie, Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf, Universit\u00e4tsstra\u00dfe 1, 40225 D\u00fcsseldorf, Germany","institution_ids":["https://openalex.org/I44260953"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021880636"],"corresponding_institution_ids":["https://openalex.org/I44260953"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":2.0665,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.87649536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"3","issue":"4","first_page":"045024","last_page":"045024"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11486","display_name":"Micro and Nano Robotics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3104","display_name":"Condensed Matter Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11486","display_name":"Micro and Nano Robotics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3104","display_name":"Condensed Matter Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12784","display_name":"Modular Robots and Swarm Intelligence","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T13052","display_name":"Molecular Communication and Nanonetworks","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8652229309082031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.637057900428772},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6292654871940613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5277025699615479},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5060092806816101},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.49238121509552},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.42671117186546326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3612831234931946},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3593153953552246},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16332432627677917},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13933587074279785},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07813867926597595}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8652229309082031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.637057900428772},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6292654871940613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5277025699615479},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5060092806816101},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.49238121509552},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.42671117186546326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3612831234931946},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3593153953552246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16332432627677917},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13933587074279785},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07813867926597595},{"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1088/2632-2153/aca7b0","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/aca7b0","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/aca7b0/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/aca7b0","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/aca7b0","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/aca7b0/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G3119284110","display_name":null,"funder_award_id":"LO 418/25-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1597123280","https://openalex.org/W2014556603","https://openalex.org/W2016647892","https://openalex.org/W2022500381","https://openalex.org/W2045786367","https://openalex.org/W2074053825","https://openalex.org/W2101878990","https://openalex.org/W2124298697","https://openalex.org/W2151770353","https://openalex.org/W2168046319","https://openalex.org/W2304845716","https://openalex.org/W2322202031","https://openalex.org/W2337407423","https://openalex.org/W2494808947","https://openalex.org/W2584231952","https://openalex.org/W2585194830","https://openalex.org/W2617070764","https://openalex.org/W2768230101","https://openalex.org/W2768911907","https://openalex.org/W2777500391","https://openalex.org/W2785135064","https://openalex.org/W2804206046","https://openalex.org/W2891423421","https://openalex.org/W2892764300","https://openalex.org/W2900477640","https://openalex.org/W2902780642","https://openalex.org/W2927482818","https://openalex.org/W2951937978","https://openalex.org/W2963604378","https://openalex.org/W2971488703","https://openalex.org/W2972006933","https://openalex.org/W3002865372","https://openalex.org/W3015612973","https://openalex.org/W3044839399","https://openalex.org/W3094083740","https://openalex.org/W3099217732","https://openalex.org/W3100505064","https://openalex.org/W3104267187","https://openalex.org/W3105953210","https://openalex.org/W3106249418","https://openalex.org/W3126205600","https://openalex.org/W3137480660","https://openalex.org/W3139632416","https://openalex.org/W3160002411","https://openalex.org/W3186216519","https://openalex.org/W3201828581","https://openalex.org/W3204947429","https://openalex.org/W4226075712","https://openalex.org/W4285032497"],"related_works":["https://openalex.org/W2920061524","https://openalex.org/W4310083477","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2076061571","https://openalex.org/W2106552856","https://openalex.org/W1987513656","https://openalex.org/W2072376847","https://openalex.org/W2089013912"],"abstract_inverted_index":{"Abstract":[0],"As":[1],"the":[2,6,13,25,37,75,78,98,114,119,128,134],"length":[3],"scales":[4],"of":[5,39,70,77,83,91,124,141],"smallest":[7],"technology":[8],"continue":[9],"to":[10,20,52,86,138],"advance":[11],"beyond":[12],"micron":[14],"scale":[15],"it":[16],"becomes":[17],"increasingly":[18],"important":[19],"equip":[21],"robotic":[22],"components":[23],"with":[24,33,89,101,121],"means":[26],"for":[27,48],"intelligent":[28],"and":[29],"autonomous":[30],"decision":[31],"making":[32],"limited":[34,68],"information.":[35,72],"With":[36],"help":[38],"a":[40,46,50,67,87,122],"tabular":[41],"Q-learning":[42],"algorithm,":[43],"we":[44,131],"design":[45],"model":[47,105],"training":[49],"microswimmer,":[51,79],"navigate":[53],"quickly":[54],"through":[55],"an":[56,108],"environment":[57],"given":[58],"by":[59],"various":[60],"different":[61,139],"scalar":[62],"motility":[63],"fields,":[64],"while":[65],"receiving":[66],"amount":[69],"local":[71],"We":[73,95],"compare":[74],"performances":[76,90],"defined":[80],"via":[81],"time":[82],"first":[84],"passage":[85],"target,":[88],"suitable":[92],"reference":[93,115],"cases.":[94,116],"show":[96,132],"that":[97,112,133],"strategy":[99,136],"obtained":[100,135],"our":[102],"reinforcement":[103],"learning":[104],"indeed":[106],"represents":[107],"efficient":[109],"navigation":[110],"strategy,":[111],"outperforms":[113],"By":[117],"confronting":[118],"swimmer":[120],"variety":[123],"unfamiliar":[125],"environments":[126],"after":[127],"finalised":[129],"training,":[130],"generalises":[137],"classes":[140],"random":[142],"fields.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}