Class OffPolicyMonteCarloOptions<T>

Configuration options for Off-Policy Monte Carlo Control agents with importance sampling.

public class OffPolicyMonteCarloOptions<T> : ReinforcementLearningOptions<T>

Inheritance: object

ReinforcementLearningOptions<T>

OffPolicyMonteCarloOptions<T>

Inherited Members: ReinforcementLearningOptions<T>.LearningRate

ReinforcementLearningOptions<T>.DiscountFactor

ReinforcementLearningOptions<T>.LossFunction

ReinforcementLearningOptions<T>.Seed

ReinforcementLearningOptions<T>.BatchSize

ReinforcementLearningOptions<T>.ReplayBufferSize

ReinforcementLearningOptions<T>.TargetUpdateFrequency

ReinforcementLearningOptions<T>.UsePrioritizedReplay

ReinforcementLearningOptions<T>.EpsilonStart

ReinforcementLearningOptions<T>.EpsilonEnd

ReinforcementLearningOptions<T>.EpsilonDecay

ReinforcementLearningOptions<T>.WarmupSteps

ReinforcementLearningOptions<T>.MaxGradientNorm

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Properties

public int ActionSize { get; init; }

public double BehaviorEpsilon { get; init; }

public int StateSize { get; init; }