C# Класс Accord.MachineLearning.EpsilonGreedyExploration

Epsilon greedy exploration policy.

The class implements epsilon greedy exploration policy. According to the policy, the best action is chosen with probability 1-epsilon. Otherwise, with probability epsilon, any other action, except the best one, is chosen randomly.

According to the policy, the epsilon value is known also as exploration rate.

Наследование: IExplorationPolicy

Показать файл Открыть проект

Открытые методы

Метод	Описание
ChooseAction ( double actionEstimates ) : int	Choose an action. The method chooses an action depending on the provided estimates. The estimates can be any sort of estimate, which values usefulness of the action (expected summary reward, discounted reward, etc).
EpsilonGreedyExploration ( double epsilon ) : System	Initializes a new instance of the EpsilonGreedyExploration class.

Описание методов

ChooseAction() публичный Метод

Choose an action.

The method chooses an action depending on the provided estimates. The estimates can be any sort of estimate, which values usefulness of the action (expected summary reward, discounted reward, etc).

public ChooseAction ( double actionEstimates ) : int
actionEstimates	double	Action estimates.
Результат	int

EpsilonGreedyExploration() публичный Метод

Initializes a new instance of the EpsilonGreedyExploration class.

public EpsilonGreedyExploration ( double epsilon ) : System
epsilon	double	Epsilon value (exploration rate).
Результат	System