Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning

Sergio Rozada, Santiago Paternain, Antonio G. Marques

Value-function (VF) approximation is a central problem in Reinforcement Learning (RL). Classical non-parametric VF estimation suffers from the curse of dimensionality. As a result,…