Zobrazeno 1 - 10
of 15
pro vyhledávání: '"GUANPU CHEN"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract In a stochastic Stackelberg asymmetric security game, the strong Stackelberg equilibrium (SSE) strategy is a popular option for the defender to get the highest utility against an attacker with the best response (BR) strategy. However, the at
Externí odkaz:
https://doaj.org/article/87c27eae42d144119b21a38d6cf39690
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Zero-determinant (ZD) strategies have attracted wide attention in Iterated Prisoner’s Dilemma (IPD) games, since the player equipped with ZD strategies can unilaterally enforce the two players’ expected utilities subjected to a linear re
Externí odkaz:
https://doaj.org/article/4fc12eb99fcd49bd883828220c683298
Publikováno v:
Third International Conference on Computer Science and Communication Technology (ICCSCT 2022).
Publikováno v:
2022 IEEE 61st Conference on Decision and Control (CDC).
Publikováno v:
Kybernetika; 2023, Vol. 59 Issue 4, p575-591, 17p
Publikováno v:
2022 41st Chinese Control Conference (CCC).
Publikováno v:
2022 American Control Conference (ACC).
Publikováno v:
Control Theory and Technology. 18:315-323
In this paper, we consider to learn the inherent probability distribution of types via knowledge transfer in a two-player repeated Bayesian game, which is a basic model in network security. In the Bayesian game, the attacker’s distribution of types
Zero-determinant (ZD) strategies have attracted wide attention in Iterated Prisoner’s Dilemma (IPD) games, since the player equipped with ZD strategies can unilaterally enforce the two players’ expected utilities subjected to a linear relation. O
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5e56beeb706ad14839d5fe200271821
https://doi.org/10.21203/rs.3.rs-1166862/v1
https://doi.org/10.21203/rs.3.rs-1166862/v1
To solve distributed optimization efficiently with various constraints and nonsmooth functions, we propose a distributed mirror descent algorithm with embedded Bregman damping, as a generalization of conventional distributed projection-based algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2063594312e0bec6bddccec33095656b
http://arxiv.org/abs/2108.12136
http://arxiv.org/abs/2108.12136