Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Artificial Intelligence
Reference51 articles.
1. Albarran, S., Clempner, J.B.: A stackelberg security markov game based on partial information for strategic decision making against unexpected attacks. Eng. Appl. Artif. Intel. 81, 408–419 (2019)
2. Alcantara-Jiménez, G., Clempner, J.: Repeated stackelberg security games: Learning with incomplete state information. Reliab. Eng. Syst. Saf. 19, 106695 (2020)
3. Asiain, E., Clempner, J.B., Poznyak, A.S.: Controller exploitation-exploration: a reinforcement learning architecture. Soft. Comput. 23(11), 3591–3604 (2019)
4. Balcan, M.F., Blum, A., Haghtalab, N., Procaccia, A.D.: Commitment without regrets: Online learning in stackelberg security games. In: Proceedings of the Sixteenth ACM Conference on Economics and Computation, pp. 61–78. ACM New York, NY, USA, Portland, Oregon, USA (2015)
5. Blum, A., Haghtalab, N., Procaccia, A.D.: Learning optimal commitment to overcome insecurity. In: G. Cowan, C. Cécile Germain, I. Guyon, B. Kégl, D. Rousseau (eds.) Proceedings of the 28th Annual Conference on Neural Information Processing Systems (NIPS), vol. 1, pp. 1826–1834. MIT Press Cambridge, MA, USA, Montreal, Quebec, Canada (2014)
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献