multi-armed bandit
Stochastic Online Greedy Learning with Semi-bandit Feedbacks
In this paper, we address the online learning problem when the input to the greedy algorithm is stochastic with unknown parameters that have to be learned over time.
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Stochastic contextual bandits with graph feedback: from independence number to MAS number Y uxiao Wen Y anjun Han
The framework of formulating the feedback structure as feedback graphs in bandits has a long history (Mannor and Shamir, 2011; Alon et al., 2015, 2017; Lykouris et al.,
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On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice
This paper considers problems of multi-armed bandits with expert advice (MwE) [Auer et al.,
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