LittlePly search design: value head scores White via W + 0.5D expected score
andreisavu · x · 2026-11-08
Details on the value definition and search usage in the LittlePly chess agent: the value describes the current position from White's perspective, and search uses W + 0.5D as White's expected score. To evaluate a candidate move, the model appends the move and evaluates the resulting position. The author stresses that policy probability and expected score serve different roles in the system.
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