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Unimodal Bandits - ICML

WebIn this paper, we fill this gap and present the first regret-based algorithm for graphical bilinear bandits using the principle of optimism in the face of uncertainty. Theoretical analysis of this new method yields an upper bound of ~O(√T) O ~ ( T) on the α α -regret and evidences the impact of the graph structure on the rate of convergence ... WebThis paper proposes a verification-based framework for solving a range of bandit problems, including condorcet dueling bandits, copeland dueling bandits, linear bandits, unimodal bandits, and graphical bandits. The setting considered is PAC-style guarantees for pure exploration, rather than online regret minimization. far cry jogar

An $\alpha$-No-Regret Algorithm For Graphical Bilinear Bandits

WebStochastic Graphical Bandits The study of stochastic graphical bandits was initiated by Caron et al. (2012), who proposed an elegant extension of UCB termed UCB-N, where … WebDec 10, 2024 · This paper studies the adversarial graphical contextual bandits, a variant of adversarial multi-armed bandits that leverage two categories of the most common side … WebDec 14, 2024 · We introduce a new graphical bilinear bandit problem where a learner (or a \emph{central entity}) allocates arms to the nodes of a graph and observes for each edge … far cry john harvey