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Found 2 papers, 2 papers with code
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning
Value-function (VF) approximation is a central problem in Reinforcement Learning (RL).
Low-rank State-action Value-function Approximation
Value functions are central to Dynamic Programming and Reinforcement Learning but their exact estimation suffers from the curse of dimensionality, challenging the development of practical value-function (VF) estimation algorithms.
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