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Hari Prasad

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Preprint Jul 2026

Auditing the Risk Claims of Distributional Reinforcement Learning

This audit combines a decision-relevant screening metric, ground truth from snapshot-restart Monte Carlo, and a statistical harness (permutation nulls, bootstrap refutation, FDR control) without which the audit itself manufactures false conclusions.

Hari Prasad · 0 citations