Statistics

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Browse subtopics: Reinforcement Learning

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Multi-armed bandit

A multi-armed bandit is a sequential decision problem in which a learner repeatedly picks one action from a fixed set, receives a random reward for that action only, and tries to accumulate as much reward as…

AlgorithmsMachine Learning