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Showing 1 to 1 of 1 for “"Multi-Armed Bandits, Boltzmann Exploration"”.
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Multi-armed bandits and applications to large datasets
This thesis considers the multi-armed bandit (MAB) problem, both the traditional bandit feedback and graphical bandits when there is side information. Motivated by the Boltzmann exploration algorithm often used in the more general context of reinforcement learning, we present Almost Boltzmann …