{"id":"https://openalex.org/W4401163911","doi":"https://doi.org/10.1109/bmsb62888.2024.10608262","title":"Reinforcement Learning for Path Planning in Communication-Limited Environments","display_name":"Reinforcement Learning for Path Planning in Communication-Limited Environments","publication_year":2024,"publication_date":"2024-06-19","ids":{"openalex":"https://openalex.org/W4401163911","doi":"https://doi.org/10.1109/bmsb62888.2024.10608262"},"language":"en","primary_location":{"id":"doi:10.1109/bmsb62888.2024.10608262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmsb62888.2024.10608262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","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/A5019400001","display_name":"Tianchen Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianchen Zhao","raw_affiliation_strings":["Tiangong University Tianjin,School of Electricial and Information Engineering,China"],"affiliations":[{"raw_affiliation_string":"Tiangong University Tianjin,School of Electricial and Information Engineering,China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023362889","display_name":"Michel Kadoch","orcid":"https://orcid.org/0000-0002-7558-1589"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Michel Kadoch","raw_affiliation_strings":["Universite du Quebec,Ecole de technologie superieure (ETS),Canada"],"affiliations":[{"raw_affiliation_string":"Universite du Quebec,Ecole de technologie superieure (ETS),Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003076395","display_name":"Rongqun Peng","orcid":"https://orcid.org/0000-0002-0704-9400"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongqun Peng","raw_affiliation_strings":["Shandong University of Technology Shandong Province,School of Computer Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Shandong University of Technology Shandong Province,School of Computer Science and Technology,China","institution_ids":["https://openalex.org/I119203015"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019400001"],"corresponding_institution_ids":["https://openalex.org/I198091727"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11513166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12784","display_name":"Modular Robots and Swarm Intelligence","score":0.9559999704360962,"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/T13382","display_name":"Robotics and Automated Systems","score":0.9329000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8478568196296692},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7162023186683655},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.6077886819839478},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5050659775733948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4215278923511505},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3336094319820404},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.17609566450119019},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1547607183456421}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8478568196296692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7162023186683655},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.6077886819839478},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5050659775733948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4215278923511505},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3336094319820404},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.17609566450119019},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1547607183456421}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bmsb62888.2024.10608262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmsb62888.2024.10608262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","raw_type":"proceedings-article"},{"id":"pmh:oai:espace2.etsmtl.ca:29469","is_oa":false,"landing_page_url":"https://espace2.etsmtl.ca/id/eprint/29469/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Compte rendu de conf\u00e9rence"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2047561956","https://openalex.org/W3011915646","https://openalex.org/W3046634561","https://openalex.org/W3096286541","https://openalex.org/W3217307116","https://openalex.org/W4289538237","https://openalex.org/W4297802317","https://openalex.org/W4309156406","https://openalex.org/W4386921522","https://openalex.org/W4388483810","https://openalex.org/W4389077457","https://openalex.org/W4390549805"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W2359600231","https://openalex.org/W2380019117","https://openalex.org/W3138952546","https://openalex.org/W1987886368","https://openalex.org/W1660309994","https://openalex.org/W2369187583","https://openalex.org/W3197207153","https://openalex.org/W3154539612"],"abstract_inverted_index":{"This":[0],"study":[1,122],"presents":[2],"a":[3,20],"groundbreaking":[4],"exploration":[5,29],"of":[6,39,78,114],"using":[7],"reinforcement":[8],"learning":[9,110],"(RL)":[10],"to":[11,90,94],"enhance":[12],"path":[13,41,53,131],"planning":[14,42,54,132,147],"in":[15,23,43,61,133,149],"scenarios":[16],"with":[17],"limited":[18],"communication,":[19],"significant":[21],"challenge":[22],"critical":[24],"fields":[25],"such":[26],"as":[27],"underwater":[28],"and":[30,49,68,86,96,102,112,145],"disaster":[31],"response.":[32],"It":[33],"begins":[34],"by":[35,46,124],"highlighting":[36],"the":[37,76,140],"importance":[38],"efficient":[40],"situations":[44],"characterized":[45],"intermittent":[47],"connectivity":[48],"restricted":[50],"bandwidth.":[51],"Traditional":[52],"methods":[55],"are":[56],"assessed":[57],"for":[58,142],"their":[59,98],"effectiveness":[60],"achieving":[62],"optimal":[63],"paths":[64],"while":[65],"minimizing":[66],"time":[67],"energy":[69],"consumption.":[70],"The":[71,121],"research\u2019s":[72],"focal":[73],"point":[74],"is":[75,106,153],"application":[77],"RL":[79,116,127],"techniques,":[80],"including":[81],"Q-learning,":[82],"Deep":[83],"Q-Networks":[84],"(DQN),":[85],"Policy":[87],"Gradient":[88],"methods,":[89],"empower":[91],"autonomous":[92],"agents":[93],"learn":[95],"refine":[97],"pathfinding":[99],"through":[100],"trial":[101],"error.":[103],"Special":[104],"emphasis":[105],"placed":[107],"on":[108],"ensuring":[109],"stability":[111],"convergence":[113],"these":[115,134],"models":[117],"despite":[118],"communication":[119,152],"challenges.":[120],"concludes":[123],"showcasing":[125],"how":[126],"not":[128],"only":[129],"improves":[130],"difficult":[135],"environments":[136],"but":[137],"also":[138],"paves":[139],"way":[141],"more":[143],"robust":[144],"adaptive":[146],"approaches":[148],"operations":[150],"where":[151],"critical.":[154]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}