Beyond the Bellman Fixed Point: Geometry and Fast Policy Identification in Value Iteration
Abstract
Q-value iteration (Q-VI) is usually analyzed through the -contraction of the Bellman operator. This argument proves convergence to , but it gives only a coarse account of when the induced greedy policy becomes optimal. We study discounted Q-VI as a switching system and focus on the practically optimal solution set (POSS), the set of -functions whose tie-broken greedy policies are optimal. The main result shows that Q-VI reaches the optimal action class in finite time by entering an invariant tube around , which is contained in the POSS. For every , the distance to satisfies an exponential bound with rate , where is the joint spectral radius of the projected switching family restricted to directions transverse to . When , this transverse convergence is faster than the classical contraction rate. The analysis separates fast policy identification from the subsequent convergence to , which may still be governed by the all-ones mode. We also give spectral and graph-theoretic conditions under which the strict inequality holds or fails.
Keywords
Cite
@article{arxiv.2604.17457,
title = {Beyond the Bellman Fixed Point: Geometry and Fast Policy Identification in Value Iteration},
author = {Donghwan Lee},
journal= {arXiv preprint arXiv:2604.17457},
year = {2026}
}