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Titlebook: Game Theory for Networks; 8th International EA Konstantin Avrachenkov,Longbo Huang,Anastasios Gio Conference proceedings 2019 ICST Institut

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Konstantin Avrachenkov,Longbo Huang,Anastasios Gio
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Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering380507.jpg
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https://doi.org/10.1007/978-3-030-16989-3artificial intelligence; communications; computer science; cooperative game; Economics; game theory; infor
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Basant K. Kapur,Kim-Chong Chonge properties of random search algorithms. Specifically using this technique in the context of Game Theory we show that stochastic better response dynamics, where players in the potential game perform their moves independently choosing the random strategy improving their outcome, converges in stochas
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,Tätigkeiten und Engagement im Ruhestand,ed over deterministic allocations by implementing lotteries. We formulate an optimization problem, called the system problem, to find the optimal lottery allocation. The system problem exhibits a two-layer structure comprised of a permutation profile and optimal allocations given the permutation pro
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https://doi.org/10.1007/978-3-662-12620-2 risk of becoming congested, and service providers (SPs) may have difficulty to differentiate their wireless services when offering them on the same unlicensed spectrum. When SPs offer identical services, the resulting competition can lead to zero profits. In this work, we consider the case where an
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