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Playing against Hedge
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作者 miltiades e. anagnostou Maria A. Lambrou 《International Journal of Communications, Network and System Sciences》 2014年第12期497-507,共11页
Hedge has been proposed as an adaptive scheme, which guides the player’s hand in a multi-armed bandit full information game. Applications of this game exist in network path selection, load distribution, and network i... Hedge has been proposed as an adaptive scheme, which guides the player’s hand in a multi-armed bandit full information game. Applications of this game exist in network path selection, load distribution, and network interdiction. We perform a worst case analysis of the Hedge algorithm by using an adversary, who will consistently select penalties so as to maximize the player’s loss, assuming that the adversary’s penalty budget is limited. We further explore the performance of binary penalties, and we prove that the optimum binary strategy for the adversary is to make greedy decisions. 展开更多
关键词 HEDGE ALGORITHM Adversary Online ALGORITHM GREEDY ALGORITHM PERIODIC Performance Binary PENALTIES Path Selection Network Interdiction
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