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Published online by Cambridge University Press: 20 July 2023
This chapter describes some theoretical results of reinforcement learning, and the analysis may be regarded as a natural generalization of techniques introduced for contextual bandit problems. We will consider both model-free and model-based algoithms, and introduce structural results for reinforcemet learning that lead to algorithms with provably efficient statistical complexity.
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