arXiv (OAI Expanded)
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Penalty-Uniform Localization for State-Constrained Policy Iteration
Penalizing a state constraint creates a singular localization problem: whole-space values may grow like the inverse penalty parameter, while numerical diffusion allows even an inward feedback to cross the boundary. For deterministic discounted optimal control, we show how the penalty itself supplies
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