Symbol P
P is part of the quantity the equation computes from the expression on the right.
Read this term in its guide →Published equation contexts
Why this formula appears here
The procedure fits a scalar reward model to pairwise comparisons using the Bradley–Terry choice model, . then optimizes the policy against that fitted reward under a penalty that keeps it near its starting point,
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Symbol y_A
is an argument of the function-like quantity on the left; its role is set by that function’s stated inputs.
Read this term in its guide →Symbol y_B
is an argument of the function-like quantity on the left; its role is set by that function’s stated inputs.
Read this term in its guide →Symbol x
x is an argument of the function-like quantity on the left; its role is set by that function’s stated inputs.
Read this term in its guide →Symbol σ
σ is one of the signed contributions combined to compute the quantity on the left.
Read this term in its guide →Symbol r_phi
hi is one of the signed contributions combined to compute the quantity on the left.
Read this term in its guide →How to interpret it
Read it with the definitions, units, and assumptions supplied by the article.
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Published contexts (1)
A symbol can carry a different meaning in another article. Each occurrence keeps its own guide and term definitions.
Equation 1 · AI Safety
The Main Technical Approaches to AI Alignment, Compared
This equation states an equality: the expressions on both sides have the same value under the article’s assumptions.
The procedure fits a scalar reward model to pairwise comparisons using the Bradley–Terry choice model, . then optimizes the policy against that fitted reward under a penalty that keeps it near its starting point,
Equation guide → · Article →