小画像 发表于 2025-3-23 11:26:27

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废墟 发表于 2025-3-23 17:34:47

https://doi.org/10.1007/978-1-4471-0471-1ion and the other with labels. We discuss the implementability of these constraints. In the case that the constraints are not implementable we present models to retrieve pure strategies in a way that they are the closest in average to the set of fairness constraints.

正式演说 发表于 2025-3-23 19:38:52

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配偶 发表于 2025-3-23 23:24:59

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背信 发表于 2025-3-24 05:59:09

DeepFP for Finding Nash Equilibrium in Continuous Action Spaces,r structured games. We demonstrate stable convergence to Nash equilibrium on several classic games and also apply DeepFP to a large forest security domain with a novel defender best response oracle. We show that DeepFP learns strategies robust to adversarial exploitation and scales well with growing number of players’ resources.

一美元 发表于 2025-3-24 07:26:39

,Toward a Theory of Vulnerability Disclosure Policy: A Hacker’s Game,he model is a description of why the disclosure of vulnerabilities can only be an optimal policy when the cost to the hacker of searching for a Zero-Day vulnerability is small. The model is also extended to discuss Microsoft’s new “extended support” disclosure policy.

Brain-Imaging 发表于 2025-3-24 13:57:51

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nerve-sparing 发表于 2025-3-24 17:24:28

https://doi.org/10.1007/978-1-4471-0471-1 behave the same way, either sharing or hiding personal information. We present an empirical analysis of a relevant data set, showing that our model parameters can be fit and that the proposed model has better explanatory power than a corresponding null (linear) model of behavior.

唠叨 发表于 2025-3-24 21:13:41

https://doi.org/10.1007/978-1-4471-0471-1sary can never achieve the targeted policy. We provide conditions on the falsified cost which can mislead the agent to learn an adversary’s favored policy. A numerical case study of water reservoir control is provided to show the potential hazards of RL in learning-based control systems and corroborate the results.

服从 发表于 2025-3-25 01:14:46

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查看完整版本: Titlebook: Decision and Game Theory for Security; 10th International C Tansu Alpcan,Yevgeniy Vorobeychik,György Dán Conference proceedings 2019 Spring