乐章
发表于 2025-3-28 14:47:34
https://doi.org/10.1007/978-1-4471-0471-1e learned preferences and show that the problem is NP-hard. (3) We perform extensive experiments to validate our methods and results. In addition, we provide a case study of the credit bureau network to illustrate how FDP implements deception on a real-world problem.
身心疲惫
发表于 2025-3-28 19:24:17
Engineering Asset Management Reviewa two-player general-sum game between the adversary and the defender. To solve this game, we propose a multi-agent reinforcement learning framework based on the double oracle algorithm. Finally, we provide experimental results to demonstrate the effectiveness of our framework in finding optimal policies.
减弱不好
发表于 2025-3-29 01:34:49
Debugging, Protection When Errors Arisemany types of network swarms including detection of influential malevolent “sources” of attacks and “miss-information”. The proposed algorithms are robust to missing data and noise. We validate our methodology using simulation data of complex swarm movements.
N斯巴达人
发表于 2025-3-29 05:02:25
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Frequency
发表于 2025-3-29 09:34:14
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CANDY
发表于 2025-3-29 11:41:47
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欢呼
发表于 2025-3-29 18:02:14
Detection of Dynamically Changing Leaders in Complex Swarms from Observed Dynamic Datamany types of network swarms including detection of influential malevolent “sources” of attacks and “miss-information”. The proposed algorithms are robust to missing data and noise. We validate our methodology using simulation data of complex swarm movements.
Fester
发表于 2025-3-29 23:44:51
Decision and Game Theory for Security978-3-030-64793-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
散步
发表于 2025-3-30 00:27:21
https://doi.org/10.1007/978-3-030-64793-3artificial intelligence; computer crime; computer networks; computer science; computer security; computer
conjunctiva
发表于 2025-3-30 07:39:48
978-3-030-64792-6Springer Nature Switzerland AG 2020