EBRAHIMI, Reza, CHAI, Yidong, LI, Weifeng, PACHECO, Jason und CHEN, Hsinchun, 2025. RADAR: A FRAMEWORK FOR DEVELOPING ADVERSARIALLY ROBUST CYBER DEFENSE AI AGENTS WITH DEEP REINFORCEMENT LEARNING. MIS Quarterly. 1 Dezember 2025. Vol. 49, no. 4, p. 1385-1416. DOI 10.25300/misq/2024/17339.
Elsevier - Harvard (with titles)Ebrahimi, R., Chai, Y., Li, W., Pacheco, J., Chen, H., 2025. RADAR: A FRAMEWORK FOR DEVELOPING ADVERSARIALLY ROBUST CYBER DEFENSE AI AGENTS WITH DEEP REINFORCEMENT LEARNING. MIS Quarterly 49, 1385-1416. https://doi.org/10.25300/misq/2024/17339
American Psychological Association 7th editionEbrahimi, R., Chai, Y., Li, W., Pacheco, J., & Chen, H. (2025). RADAR: A FRAMEWORK FOR DEVELOPING ADVERSARIALLY ROBUST CYBER DEFENSE AI AGENTS WITH DEEP REINFORCEMENT LEARNING. MIS Quarterly, 49(4), 1385-1416. https://doi.org/10.25300/misq/2024/17339
Springer - Basic (author-date)Ebrahimi R, Chai Y, Li W, Pacheco J, Chen H (2025) RADAR: A FRAMEWORK FOR DEVELOPING ADVERSARIALLY ROBUST CYBER DEFENSE AI AGENTS WITH DEEP REINFORCEMENT LEARNING.. MIS Quarterly 49:1385-1416. https://doi.org/10.25300/misq/2024/17339
Juristische Zitierweise (Stüber) (Deutsch)Ebrahimi, Reza/ Chai, Yidong/ Li, Weifeng/ Pacheco, Jason/ Chen, Hsinchun, RADAR: A FRAMEWORK FOR DEVELOPING ADVERSARIALLY ROBUST CYBER DEFENSE AI AGENTS WITH DEEP REINFORCEMENT LEARNING., MIS Quarterly 2025, 1385-1416.