Factored Bandits

NeurIPS 2018 Julian ZimmertYevgeny Seldin

We introduce the factored bandits model, which is a framework for learning with limited (bandit) feedback, where actions can be decomposed into a Cartesian product of atomic actions. Factored bandits incorporate rank-1 bandits as a special case, but significantly relax the assumptions on the form of the reward function... (read more)

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