{"id":"https://openalex.org/W4410771068","doi":"https://doi.org/10.1109/icrca64997.2025.11011155","title":"Efficient Multi-Agent Reinforcement Learning for Pursuit-Evasion Game of Unmanned Surface Vessels with a Faster Evader","display_name":"Efficient Multi-Agent Reinforcement Learning for Pursuit-Evasion Game of Unmanned Surface Vessels with a Faster Evader","publication_year":2025,"publication_date":"2025-03-07","ids":{"openalex":"https://openalex.org/W4410771068","doi":"https://doi.org/10.1109/icrca64997.2025.11011155"},"language":"en","primary_location":{"id":"doi:10.1109/icrca64997.2025.11011155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icrca64997.2025.11011155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Robotics, Control and Automation (ICRCA)","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/A5100691215","display_name":"Wenpeng Zhang","orcid":"https://orcid.org/0000-0002-7018-930X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenpeng Zhang","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100760682","display_name":"Shaohui Li","orcid":"https://orcid.org/0000-0002-9650-8874"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohui Li","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032135998","display_name":"Lanfeng Wang","orcid":"https://orcid.org/0000-0002-0324-4903"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lanfeng Wang","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076917019","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-7945-7462"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["Tsinghua University,Department of Electronic Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Electronic Engineering,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100691215"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05361696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"180","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12158","display_name":"Guidance and Control Systems","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T12158","display_name":"Guidance and Control Systems","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.8248225450515747},{"id":"https://openalex.org/keywords/unmanned-surface-vehicle","display_name":"Unmanned surface vehicle","score":0.6703453063964844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.663095235824585},{"id":"https://openalex.org/keywords/pursuit-evasion","display_name":"Pursuit-evasion","score":0.5287774801254272},{"id":"https://openalex.org/keywords/evasion","display_name":"Evasion (ethics)","score":0.5164446830749512},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4365129768848419},{"id":"https://openalex.org/keywords/marine-engineering","display_name":"Marine engineering","score":0.1906854808330536},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14441096782684326}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8248225450515747},{"id":"https://openalex.org/C2987248590","wikidata":"https://www.wikidata.org/wiki/Q4419860","display_name":"Unmanned surface vehicle","level":2,"score":0.6703453063964844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.663095235824585},{"id":"https://openalex.org/C2778388243","wikidata":"https://www.wikidata.org/wiki/Q7261573","display_name":"Pursuit-evasion","level":2,"score":0.5287774801254272},{"id":"https://openalex.org/C2781251061","wikidata":"https://www.wikidata.org/wiki/Q5416089","display_name":"Evasion (ethics)","level":3,"score":0.5164446830749512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4365129768848419},{"id":"https://openalex.org/C199104240","wikidata":"https://www.wikidata.org/wiki/Q118291","display_name":"Marine engineering","level":1,"score":0.1906854808330536},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14441096782684326},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C8891405","wikidata":"https://www.wikidata.org/wiki/Q1059","display_name":"Immune system","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icrca64997.2025.11011155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icrca64997.2025.11011155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Robotics, Control and Automation (ICRCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1973498302","https://openalex.org/W2084163350","https://openalex.org/W2324901285","https://openalex.org/W2973229164","https://openalex.org/W3024256251","https://openalex.org/W3026829485","https://openalex.org/W4304614160","https://openalex.org/W4318606397","https://openalex.org/W4321763414","https://openalex.org/W4366085556","https://openalex.org/W4388855848"],"related_works":["https://openalex.org/W2057376130","https://openalex.org/W2091926052","https://openalex.org/W3150610856","https://openalex.org/W2352258019","https://openalex.org/W4248803515","https://openalex.org/W3037033265","https://openalex.org/W2124277904","https://openalex.org/W4220855336","https://openalex.org/W4384159004","https://openalex.org/W4308732150"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,26,48,83],"multi-agent":[4,36],"reinforcement":[5],"learning":[6],"method":[7,31,79],"that":[8,76],"effectively":[9],"learns":[10],"the":[11,17,35,52,58,63,68,77,91,96],"strategy":[12,86],"for":[13,51,87],"cooperative":[14,53,84],"pursuit":[15,85],"in":[16],"pursuit-evasion":[18],"game":[19],"of":[20],"unmanned":[21],"surface":[22],"vehicles":[23],"(USVs)":[24],"with":[25],"faster":[27,92],"evader.":[28],"The":[29],"proposed":[30,78],"is":[32],"based":[33],"on":[34],"deep":[37],"deterministic":[38],"policy":[39,50],"gradient":[40],"(MADDPG)":[41],"algorithm,":[42],"which":[43,66],"allows":[44],"us":[45],"to":[46,62,89],"learn":[47,82],"position-free":[49],"pursuers.":[54],"Furthermore,":[55],"we":[56],"shape":[57],"reward":[59,70],"function":[60],"according":[61],"Apollonius":[64],"circle,":[65],"alleviates":[67],"sparse":[69],"problem":[71],"during":[72],"learning.":[73],"Experiments":[74],"show":[75],"can":[80],"successfully":[81],"USVs":[88],"capture":[90],"evader":[93],"and":[94],"outperforms":[95],"vanilla":[97],"MADDPG.":[98]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
