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

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書(shū)目名稱(chēng)Algorithmic Decision Theory讀者反饋




書(shū)目名稱(chēng)Algorithmic Decision Theory讀者反饋學(xué)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

藥物

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