EpsilonGreedySpec

@Serializable

@SerialName(value = "EpsilonGreedy")

data class EpsilonGreedySpec(val epsilon: Double = 0.1, val priorMean: Double = 0.0, val priorWeight: Double = 0.02, val priorSquaredDeviations: Double = 0.02) : BanditPolicySpec<WeightedVarianceResult> (source)

Constructors

constructor(epsilon: Double = 0.1, priorMean: Double = 0.0, priorWeight: Double = 0.02, priorSquaredDeviations: Double = 0.02)(source)

Probability of exploring uniformly.

Per-arm prior on the running reward mean.

Prior on Sum (x - mean)^2 * w.

Per-arm prior pseudo-count.