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Bandit AlgorithmsDecision making in the face of uncertainty is a significant challenge in machine learning, and the multi armed bandit model is a commonly used framework to address it. This comprehensive and rigorous introduction to the multi armed bandit problem examines all the major settings, including stochastic, adversarial, and Bayesian frameworks. A focus on both mathematical intuition and carefully worked proofs makes this an excellent reference for

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