Article

How Much Can Best-of-N Improve a World Action Model: Measuring the Selectable Space and Realizing It in Closed Loop

The paper proposes a denoised counterfactual protocol that uses bitwise-reproducible branching, repeated continuations, held-out oracles, and common random numbers to measure the selectable space a world action model (WAM) can achieve when selecting candidate actions at test time, and builds a fail-gated selector on that basis.

Part of the event: Denoising Counterfactual Protocol Measures WAM Optional Margin

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