Skip to content

monad.ai

monad.ai / LEARNING_RATE

# Variable: LEARNING_RATE ​

> `const` LEARNING_RATE: `0.01` = `0.01`

Defined in: kernel/adaptiveWeights.ts:24

Gradient step size (α) applied per forward result.

Small by design: `Δweight = α × reward × contribution` at α = 0.01 produces sub-1% shifts per step, keeping the weight trajectory smooth and preventing oscillation after a burst of unusual outcomes.