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• W2964591903 abstract "We study the adversarial multi-armed bandit problem where partial observations are available and where, in addition to the loss incurred for each action, a emph{switching cost} is incurred for shifting to a new action. All previously known results incur a factor proportional to the independence number of the feedback graph. We give a new algorithm whose regret guarantee depends only on the domination number of the graph. We further supplement that result with a lower bound. Finally, we also give a new algorithm with improved policy regret bounds when partial counterfactual feedback is available." @default.
• W2964591903 created "2019-08-13" @default.
• W2964591903 creator A5024713701 @default.
• W2964591903 creator A5058849006 @default.
• W2964591903 creator A5063457506 @default.
• W2964591903 date "2019-07-29" @default.
• W2964591903 modified "2023-09-23" @default.
• W2964591903 title "Bandits with Feedback Graphs and Switching Costs" @default.
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