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From Dueling Bandits to Episodic MDPs: Learning with Adversarial Preference Feedback

Tsuchiya, Taira et al.
arXiv (All) · Papers
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machine-learning
In dueling bandits, the learner compares two arms in each round and observes only which one is preferred. This paper asks what changes when the compared pair also affects the next state, as in a recommendation interface where the pair shown to a user affects the user's next context. We formulate thi
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