{"id":"https://openalex.org/W7147176466","doi":"https://doi.org/10.1016/j.neucom.2026.133488","title":"Safe multi-agent reinforcement learning based on adversarial strategy and control barrier function feasible set","display_name":"Safe multi-agent reinforcement learning based on adversarial strategy and control barrier function feasible set","publication_year":2026,"publication_date":"2026-03-31","ids":{"openalex":"https://openalex.org/W7147176466","doi":"https://doi.org/10.1016/j.neucom.2026.133488"},"language":"en","primary_location":{"id":"doi:10.1016/j.neucom.2026.133488","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.neucom.2026.133488","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-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/A5107171246","display_name":"Shihan Liu","orcid":"https://orcid.org/0000-0002-5780-5673"},"institutions":[{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihan Liu","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350002, China"],"raw_orcid":"https://orcid.org/0000-0002-5780-5673","affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350002, China","institution_ids":["https://openalex.org/I61057504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128209767","display_name":"Shaohua Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]},{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN","DE"],"is_corresponding":false,"raw_author_name":"Shaohua Wang","raw_affiliation_strings":["College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China","Technical University of Darmstadt, Darmstadt, 64289, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China","institution_ids":["https://openalex.org/I61057504"]},{"raw_affiliation_string":"Technical University of Darmstadt, Darmstadt, 64289, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132681951","display_name":"Minxin Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minxin Dai","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350002, China","institution_ids":["https://openalex.org/I61057504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132653675","display_name":"Guodong Lian","orcid":null},"institutions":[{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guodong Lian","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350002, China","institution_ids":["https://openalex.org/I61057504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054043223","display_name":"Jinchai Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinchai Xu","raw_affiliation_strings":["College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China","institution_ids":["https://openalex.org/I61057504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5132580530","display_name":"Xiangzeng Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangzeng Kong","raw_affiliation_strings":["College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China","institution_ids":["https://openalex.org/I61057504"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054043223","https://openalex.org/A5132580530"],"corresponding_institution_ids":["https://openalex.org/I61057504"],"apc_list":{"value":2470,"currency":"USD","value_usd":2470},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35897515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"683","issue":null,"first_page":"133488","last_page":"133488"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.7028999924659729,"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"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.7028999924659729,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.10209999978542328,"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/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.03999999910593033,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7487000226974487},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7093999981880188},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6733999848365784},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.6015999913215637},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5716999769210815},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5619999766349792},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.4494999945163727},{"id":"https://openalex.org/keywords/bellman-equation","display_name":"Bellman equation","score":0.4092000126838684},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.40450000762939453}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7487000226974487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.741100013256073},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7093999981880188},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6733999848365784},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.6015999913215637},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5716999769210815},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5619999766349792},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.4494999945163727},{"id":"https://openalex.org/C14646407","wikidata":"https://www.wikidata.org/wiki/Q1430750","display_name":"Bellman equation","level":2,"score":0.4092000126838684},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40869998931884766},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.40450000762939453},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3970000147819519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3824000060558319},{"id":"https://openalex.org/C177067428","wikidata":"https://www.wikidata.org/wiki/Q17013331","display_name":"Feasible region","level":2,"score":0.33149999380111694},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.32170000672340393},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.31349998712539673},{"id":"https://openalex.org/C6180225","wikidata":"https://www.wikidata.org/wiki/Q3411771","display_name":"Penalty method","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C205875254","wikidata":"https://www.wikidata.org/wiki/Q17156857","display_name":"Decentralised system","level":3,"score":0.28540000319480896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C15312841","wikidata":"https://www.wikidata.org/wiki/Q1657198","display_name":"Set function","level":3,"score":0.2759000062942505},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.26499998569488525},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.neucom.2026.133488","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.neucom.2026.133488","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1978956894","https://openalex.org/W2560504659","https://openalex.org/W2580629550","https://openalex.org/W2592009351","https://openalex.org/W2908261578","https://openalex.org/W2963658727","https://openalex.org/W2996568167","https://openalex.org/W3039518800","https://openalex.org/W3128290735","https://openalex.org/W3206495240","https://openalex.org/W4294310791","https://openalex.org/W4308487886","https://openalex.org/W4317553716","https://openalex.org/W4352977012","https://openalex.org/W4364374944","https://openalex.org/W4386700982","https://openalex.org/W4388579704","https://openalex.org/W4392349475","https://openalex.org/W4400139258","https://openalex.org/W4402547334","https://openalex.org/W4404838617","https://openalex.org/W4405835947","https://openalex.org/W4408782378","https://openalex.org/W4413044162","https://openalex.org/W4413237133","https://openalex.org/W4413581216"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-04-03T16:38:21.277918","created_date":"2026-04-02T00:00:00"}