A contextual dueling bandit algorithm asks users to compare each new item against a past item for free, achieving O(sqrt(T)) regret after a short random exploration phase.
Stochastic contextual dueling bandits under linear stochastic transitivity models
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Recycling History: Efficient Recommendations from Contextual Dueling Bandits
A contextual dueling bandit algorithm asks users to compare each new item against a past item for free, achieving O(sqrt(T)) regret after a short random exploration phase.