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A Geometric Theory of Decision Boundaries in Structured Markov Decision Processes
Classical dynamic programming represents optimal sequential decisions through value functions and policies. While this functional representation is natural for computing optimal decisions, it does not directly identify the mathematical object governing policy reconstruction, representation complexit
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