C# Class AForge.MachineLearning.EpsilonGreedyExploration

Epsilon greedy exploration policy.

The class implements epsilon greedy exploration policy. Acording 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.

Inheritance: IExplorationPolicy

Datei anzeigen Open project: holisticware-admin/MonoVersal.AForgeNET

Public Methods

Method	Description
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.

Method Details

ChooseAction() public method

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.
return	int

EpsilonGreedyExploration() public method

Initializes a new instance of the EpsilonGreedyExploration class.

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