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Preprint Aug 2026

Dual-Based Weight Selection for Approximate Linear Programming

Approximate Linear Programming (ALP) is widely used for large-scale Markov Decision Processes (MDPs), but its performance can be sensitive to the choice of state-relevance weights, which are typically selected heuristically. Performance bounds suggest aligning these weights with the discounted occupancy measure of the...

Li Su, A. Ciré, Adam Diamant et al. · 0 citations

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