The Myhill-Nerode Theorem for Bounded Interaction: Canonical Abstractions via Agent-Bounded Indistinguishability
arXiv cs.AI / 3/24/2026
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Key Points
- The paper proposes a bounded-interaction analogue of the Myhill–Nerode theorem, showing that any capacity-limited observer induces a canonical quotient on its environment by identifying observation histories that no bounded agent can distinguish.
- For finite POMDPs, it constructs a closed-loop Wasserstein pseudometric using a fixed family of finite-state controllers and derives a probe-exact quotient that is canonical, minimal, and unique within that notion of bounded indistinguishability.
- It introduces a “clock-aware” probe setting where the resulting quotient is decision-sufficient for objectives depending only on the agent’s observations and actions, and provides an approximation bound for settings with latent-state rewards via an observation-Lipschitz condition.
- The main theoretical object is paired with experiments that explore a scalable deterministic-stationary coarsening, validated on classic benchmarks such as Tiger and GridWorld and further diagnostic case studies including RockSample to study approximation runtime and behavior.
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