Results 181 to 190 of about 11,565 (207)
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Adversarial Deep Learning with Stackelberg Games
2019Deep networks are vulnerable to adversarial attacks from malicious adversaries. Currently, many adversarial learning algorithms are designed to exploit such vulnerabilities in deep networks. These methods focus on attacking and retraining deep networks with adversarial examples to do either feature manipulation or label manipulation or both.
Aneesh Sreevallabh Chivukula +2 more
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On the selection of leader in Stackelberg games with parameter uncertainty
International Journal of Systems Science, 2021Raaed S Al-Azzawi, Marwan A Simaan
exaly
Stackelberg Differential Games
2018In Stackelberg games, the players are not on an equal footing. There is a leader and a follower. This is a generalization of the two-player zero-sum differential games considered in Section 16.4, in particular.
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Policy diffusion in a simple Stackelberg game [PDF]
, 2010 Strategic environmental policy games are usually based on simultaneous decision making and reach the conclusion that the policy choices are strategic substitutes. Empirical evidence, however, shows that the introduction of a regulatory instrument usually follows a consecutive pattern that is best described as policy diffusion.
Peter Michaelis, Thomas Ziesemer
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On coincidence of feedback and global Stackelberg equilibria in a class of differential games
European Journal of Operational Research, 2021Guiomar Martín-Herrán +1 more
exaly
Sequential Stackelberg Games with bounded rationality
Applied Soft Computing, 2023Jan Karwowski +2 more
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Stackelberg games for modeling defense scenarios against cloud security threats
Journal of Network and Computer Applications, 2018Agnieszka Jakobik +2 more
exaly
Hierarchical MARL with Stackelberg Games
2025 American Control Conference (ACC)Carmel Fiscko, Haoyu Yin, Bruno Sinopoli
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Infinite horizon linear-quadratic Stackelberg games for discrete-time stochastic systems
Automatica, 2017Hiroaki Mukaidani, Hua Xu
exaly