Value Alignment inside a Defended Transition Ambiguity Set

Authors

  • Simon Campbell Author
  • Jack Porter Author
  • Ethan Sanders Author

Abstract

Heterogeneous offline values may require alignment before robust Bellman updates become interpretable. Evaluation should distinguish value compatibility, behavior support, and ambiguity scale. Independent policy outcomes under declared shifts assess the complete action. A faster robust calculation solves its defined optimization problem without establishing that incompatible stored values or excluded dynamics were repaired. This focused synthesis develops an empirical comparison that preserves the terminal action, observation process, and total verification cost. Its proposed tests are prospective; no new simulation run, model-training result, or intervention effect is reported.

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Published

2025-10-21

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