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On Value Iteration Convergence in Connected MDPs

arXiv 2406.09592 ↗First posted 13 Jun 2024cs.LGcited by 1

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Abstract (arXiv)

This paper establishes that an MDP with a unique optimal policy and ergodic associated transition matrix ensures the convergence of various versions of the Value Iteration algorithm at a geometric rate that exceeds the discount factor γ for both discounted and average-reward criteria.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 0 of its 3 references that are in the map. First posted on arXiv 13 Jun 2024.

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