{"id":"https://openalex.org/W4394671140","doi":"https://doi.org/10.48550/arxiv.2310.04266","title":"DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories","display_name":"DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4394671140","doi":"https://doi.org/10.48550/arxiv.2310.04266"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2310.04266","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/2310.04266","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093054933","display_name":"Matteo El-Hariry","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"El-Hariry, Matteo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090913728","display_name":"Antoine Richard","orcid":"https://orcid.org/0000-0003-4018-699X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Richard, Antoine","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029774917","display_name":"Vivek Muralidharan","orcid":"https://orcid.org/0000-0003-1758-9088"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muralidharan, Vivek","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110482875","display_name":"Matthieu Geist","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Geist, Matthieu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5085280731","display_name":"Miguel A. Olivares-M\u00e9ndez","orcid":"https://orcid.org/0000-0001-8824-3231"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Olivares-Mendez, Miguel","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":67},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9875,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12288","display_name":"Optimization and Search Problems","score":0.9875,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9794,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9271,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.84484816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.58340895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48220837},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.47401506},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1877971},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.07771474}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2310.04266","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.04266","pdf_url":"http://arxiv.org/pdf/2310.04266","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":"acceptedVersion","is_accepted":true,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2310.04266","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/2310.04266","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":28,"referenced_works":["https://openalex.org/W1586251222","https://openalex.org/W2032218582","https://openalex.org/W2158782408","https://openalex.org/W2214829077","https://openalex.org/W2734759912","https://openalex.org/W2736601468","https://openalex.org/W2774542977","https://openalex.org/W2810497134","https://openalex.org/W2949994934","https://openalex.org/W2997531993","https://openalex.org/W2999854857","https://openalex.org/W3083163740","https://openalex.org/W3123538634","https://openalex.org/W3162746390","https://openalex.org/W3166221495","https://openalex.org/W3213974477","https://openalex.org/W4205935424","https://openalex.org/W4206226756","https://openalex.org/W4225256497","https://openalex.org/W4310454346","https://openalex.org/W4312982408","https://openalex.org/W4313887929","https://openalex.org/W4382405044","https://openalex.org/W4386158279","https://openalex.org/W4386363052","https://openalex.org/W4387596309","https://openalex.org/W4388919063","https://openalex.org/W4390726590"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W4310083477","https://openalex.org/W2920061524","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2328553770","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W2038908348","https://openalex.org/W1977959518"],"abstract_inverted_index":{"This":[0],"investigation":[1],"introduces":[2],"a":[3,116],"novel":[4],"deep":[5,83],"reinforcement":[6,84],"learning-based":[7],"suite":[8,71,113],"to":[9,25,32,80,123],"control":[10],"floating":[11],"platforms":[12,20,51],"in":[13,48,127],"both":[14],"simulated":[15,130],"and":[16,45,61,75,100,132],"real-world":[17,106],"environments.":[18],"Floating":[19],"serve":[21],"as":[22,90,115],"versatile":[23],"test-beds":[24],"emulate":[26],"micro-gravity":[27],"environments":[28,131],"on":[29],"Earth,":[30],"useful":[31],"test":[33],"autonomous":[34],"navigation":[35],"systems":[36],"for":[37,103,119],"space":[38],"applications.":[39],"Our":[40,82],"approach":[41],"addresses":[42],"the":[43],"system":[44],"environmental":[46],"uncertainties":[47],"controlling":[49],"such":[50,89],"by":[52],"training":[53,92],"policies":[54],"capable":[55],"of":[56],"precise":[57],"maneuvers":[58],"amid":[59],"dynamic":[60],"unpredictable":[62],"conditions.":[63],"Leveraging":[64],"Deep":[65],"Reinforcement":[66],"Learning":[67],"(DRL)":[68],"techniques,":[69],"our":[70,112],"achieves":[72],"robustness,":[73],"adaptability,":[74],"good":[76],"transferability":[77],"from":[78],"simulation":[79],"reality.":[81],"learning":[85],"framework":[86],"provides":[87],"advantages":[88],"fast":[91],"times,":[93],"large-scale":[94],"testing":[95],"capabilities,":[96],"rich":[97],"visualization":[98],"options,":[99],"ROS":[101],"bindings":[102],"integration":[104],"with":[105],"robotic":[107],"systems.":[108],"Being":[109],"open":[110],"access,":[111],"serves":[114],"comprehensive":[117],"platform":[118],"practitioners":[120],"who":[121],"want":[122],"replicate":[124],"similar":[125],"research":[126],"their":[128],"own":[129],"labs.":[133]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4394671140","counts_by_year":[],"updated_date":"2025-01-04T08:55:26.192736","created_date":"2024-04-11"}