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THE CONSCIOUSNESS ATLAS
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ConsciousnessLearn · Explore · Joseph Anady

Softmax action policy

Convert action values into a distribution over actions by applying softmax across the available action set. Actions with larger values receive larger probability, while finite values keep every available action at positive probability.

Cross-project equation postersource graphic; not an execution result
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poster-eq-22feff8cce896amathematical expression
π(a∣s)=softmax(Q(s,a))π(a|s) = softmax(Q(s,a))

Read the equation

Convert action values into a distribution over actions by applying softmax across the available action set. Actions with larger values receive larger probability, while finite values keep every available action at positive probability.

Its role in the build

The Megamind Equation Atlas

Terms & definitions

The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.

How it works

  1. Read π(a|s) as the quantity being defined or updated by this relation.

  2. Substitute the source-defined variables or recorded values and follow the displayed arithmetic and indexing exactly.

  3. Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.

Assumptions & limits

  • The action axis and temperature are not printed. An implementation needs a defined action set and a numerically stable normalization.

Original context

Read the surrounding source passage
The Megamind Equation Atlas: Convert action values into a distribution over actions by applying softmax across the available action set. Actions with larger values receive larger probability, while finite values keep every available action at positive probability.
Exact original notation
π(a|s) = softmax(Q(s,a))

Related builds

Sources & provenance

01
Megamind equation atlas infographic.png
Supporting formulas: lower-left box; verified transcript lines 326–332 · Jul 10, 2026
π(a|s) = softmax(Q(s,a))

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