dicechess-engine/dicechess.engine/dicechess.engine.search/EquityEstimate

EquityEstimate

dicechess.engine.search.EquityEstimate

final case class EquityEstimate(whiteWin: Double, blackWin: Double, undecided: Double, rollouts: Int, standardError: Double, varianceReductionVsVanilla: Double)

Result of a Monte-Carlo pre-roll equity estimate.

The three probabilities partition every rollout's outcome mass and therefore sum to 1.0:

whiteWin / blackWin — probability that White / Black captures a king first;
undecided — residual survival mass at the ply horizon (games that were neither won nor lost within maxPlies).

Value parameters

standardError: the standard error of the whiteWin estimate (sqrt(sampleVariance / rollouts)); halve by quadrupling rollouts.
varianceReductionVsVanilla: how many times smaller the per-rollout variance is than a vanilla 0/1 Monte-Carlo with the same mean would be (mean·(1-mean) / sampleVariance). Values > 1 quantify the Rao-Blackwell gain; +Infinity means the estimate is exact (zero sample variance, e.g. a position decided on the first roll).

Attributes

Source: MonteCarloEquity.scala
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Supertypes: trait Serializable

trait Product

trait Equals

class Object

trait Matchable

class Any
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Inherited methods

An iterator over the names of all the elements of this product.

Attributes

Inherited from:: Product

An iterator over all the elements of this product.

Attributes

Returns: in the default implementation, an Iterator[Any]
Inherited from:: Product

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