C# Класс Accord.MachineLearning.BoltzmannExploration

Boltzmann distribution exploration policy.

The class implements exploration policy base on Boltzmann distribution. Acording to the policy, action a at state s is selected with the next probability:

exp( Q( s, a ) / t ) p( s, a ) = ----------------------------- SUM( exp( Q( s, b ) / t ) ) b

where Q(s, a) is action's a estimation (usefulness) at state s and t is Temperature.

Наследование: IExplorationPolicy

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Открытые методы

Метод	Описание
BoltzmannExploration ( double temperature ) : System	Initializes a new instance of the BoltzmannExploration class.
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).

Описание методов

BoltzmannExploration() публичный Метод

Initializes a new instance of the BoltzmannExploration class.

public BoltzmannExploration ( double temperature ) : System
temperature	double	Temperature parameter of Boltzmann distribution.
Результат	System

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