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most citedTensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning

4 citations · 4 across the 15 of their papers we have counts for

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eess.SY2024

Low-Rank Tensors for Multi-Dimensional Markov Models

Madeline Navarro, Sergio Rozada, Antonio G. Marques +1

This work presents a low-rank tensor model for multi-dimensional Markov chains. A common approach to simplify the dynamical behavior of a Markov chain is to impose low-rankness on…