MonteCarloConfig

dicechess.engine.search.MonteCarloConfig

final case class MonteCarloConfig(rollouts: Int = ..., maxPlies: Int = ..., targetError: Double = ..., minRollouts: Int = ...)

Value parameters

maxPlies: ply horizon for a single rollout; survival mass still alive at the horizon is reported as undecided.
minRollouts: minimum rollouts before adaptive stopping may trigger; ignored when targetError is 0.
rollouts: hard cap on the number of rollouts (also the exact count when targetError is 0).
targetError: when > 0, stop early once the White-win standard error drops to or below this value (checked after at least minRollouts rollouts). 0 disables adaptive stopping and runs exactly rollouts rollouts.

Source: MonteCarloEquity.scala
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Supertypes: trait Serializable

trait Product

trait Equals

class Object

trait Matchable

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

An iterator over all the elements of this product.

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