A survey unifying the operator-theoretic, probabilistic, and optimization-based mathematical structures underlying modern reinforcement learning algorithms.
Randomized linear programming solves the markov decision problem in nearly linear (sometimes sublinear) time.Mathematics of Operations Research, 45 (2):517–546, 2020
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Mathematical methods of reinforcement learning
A survey unifying the operator-theoretic, probabilistic, and optimization-based mathematical structures underlying modern reinforcement learning algorithms.