{"version.version":"0.0.7","version.cm_url":"https://github.com/ceurws/ceur-spt","spt.html_url":"/Vol-4154/paper2.html","spt.description":null,"spt.id":"Vol-4154/paper2","spt.wikidataid":null,"spt.title":"Collaborative Reinforcement Learning for Cyber Defense: Analysis of\n                        Strategies, and Policies","spt.pdfUrl":"https://ceur-ws.org/Vol-4154/paper2.pdf","spt.volume":{"number":4154,"acronym":"SPAIML 2025","wikidataid":null,"title":"Proceedings of the 1st International Workshop on Security and Privacy-Preserving AI/ML","description":null,"url":null,"date":"2026-01-28","dblp":null,"k10plus":null,"urn":null},"spt.session":null,"cvb.id":"Vol-4154/paper2","cvb.title":"Collaborative Reinforcement Learning for Cyber Defense: Analysis of\n                        Strategies, and Policies","cvb.type":null,"cvb.position":null,"cvb.pagesFrom":null,"cvb.pagesTo":null,"cvb.authors":"Davide Rigoni,Rafael Fernandes Cunha,Frank Fransen,Puck de Haan,Amir Javadpour,Fatih Turkmen","cvb.vol_number":"4154","cvb.pdf_name":"paper2.pdf","cvb.pages":"11-20","cvb.fail":null}