Titlebook: Algorithmic Decision Theory; 8th International Co Rupert Freeman,Nicholas Mattei Conference proceedings 2025 The Editor(s) (if applicable)

异国

书目名称Algorithmic Decision Theory影响因子(影响力)




书目名称Algorithmic Decision Theory影响因子(影响力)学科排名




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书目名称Algorithmic Decision Theory网络公开度学科排名




书目名称Algorithmic Decision Theory被引频次




书目名称Algorithmic Decision Theory被引频次学科排名




书目名称Algorithmic Decision Theory年度引用




书目名称Algorithmic Decision Theory年度引用学科排名




书目名称Algorithmic Decision Theory读者反馈




书目名称Algorithmic Decision Theory读者反馈学科排名

CHOIR

Protective and Nonprotective Subset Sum Games: A Parameterized Complexity Analysise, and the number of different numbers in the input on the complexity of the problem. Second, we consider a further variant of the game, called ., where Player . additionally has the goal that Player . reaches a value of at least .. In a nutshell, we show that most algorithms for the nonprotective v

Pantry

Non-maximizing Policies that Fulfill Multi-criterion Aspirations in Expectationof the evaluation metrics falls into some given convex set, called the aspiration set. Our algorithm guarantees that this task is fulfilled by using simplices to approximate feasibility sets and propagate aspirations forward while ensuring they remain feasible. It has complexity linear in the number

FLAGR

lattice

Collaborative Information Dissemination with Graph-Based Multi-Agent Reinforcement Learningmplish cooperative information dissemination, L-DyAN and HL-DyAN, differing in terms of the information exchanged among agents. Our experimental results show that our trained policies outperform existing methods, including the state-of-the-art heuristic, in terms of network coverage and communicatio

药物

委派

Learning Multiple Multicriteria Additive Models from Heterogeneous Preferencesming based resolution approach to solve this . problem (PLS). We also propose a heuristic to deal with large datasets. We study the performance of both algorithms through experiments using synthetic and real data.

罐里有戒指

Antimicrobial

F. J. Leonberger,J. P. Donnellynvergence. The pursuit of a polynomial-time algorithm for SSGs is an active area of research. This paper is intended to support such research by making it easier to study the graphical structure of SSGs. Our contributions are: (1) a generating algorithm for Stopping Games, (2) a proof that the algor

AGGER

https://doi.org/10.1007/978-3-642-97074-0e, and the number of different numbers in the input on the complexity of the problem. Second, we consider a further variant of the game, called ., where Player . additionally has the goal that Player . reaches a value of at least .. In a nutshell, we show that most algorithms for the nonprotective v