A note on the article "On Exploiting Spectral Properties for Solving MDP with Large State Space"
D. Maran
TL;DR
This paper revises a previous algorithm for large state space MDPs, proving it always converges, thus strengthening its theoretical foundation.
Contribution
It corrects and extends prior work by removing unrealistic assumptions, ensuring guaranteed convergence of the spectral property-based algorithm.
Findings
The algorithm always converges under general conditions.
Theoretical guarantees are strengthened compared to previous results.
Provides a more reliable method for large state space MDPs.
Abstract
We improve a theoretical result of the article "On Exploiting Spectral Properties for Solving MDP with Large State Space" showing that their algorithm, which was proved to converge under some unrealistic assumptions, is actually guaranteed to converge always.
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Taxonomy
TopicsOptimization and Search Problems · Security in Wireless Sensor Networks · Machine Learning and Algorithms