Agent reward upgrade: dynamic window size prevents data clipping
cephaloform · x · 2026-08-18
The developer updated an agent's reward mechanism. Previously relying on a naive sliding window and EMA for advantage calculation, which often clipped tasks accidentally. The new system allows the model to determine window size using tools, preventing data loss and ensuring complete context processing for history.
Related event: Dev Builds Local Agent That Trains Itself Overnight(4 posts)→
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