C# Class numl.Reinforcement.QLearning.QLearnerModel

A Q-Learner Model.

Inheritance: ReinforcementModel

Afficher le fichier Open project: sethjuarez/numl

Méthodes publiques

Méthode	Description
Learn ( Vector x1, double y, Vector x2, double r ) : void	Updates the Q-Learner model by reinforcing with the new state/action and transition state feedback values.
Learn ( Vector x, double y, double r ) : void	Updates the Q-Learner model by reinforcing with the new state/action feedback values.
Predict ( Vector y ) : double	Predicts the best action for the current state.
QLearnerModel ( ) : System	Initializes a new Q-Learner model.

Updates the Q-Learner model by reinforcing with the new state/action and transition state feedback values.

public Learn ( Vector x1, double y, Vector x2, double r ) : void
x1	numl.Math.LinearAlgebra.Vector	Item features, i.e. the original State.
y	double	Action label.
x2	numl.Math.LinearAlgebra.Vector	Transition state value.
r	double	Reward value.
Résultat	void

Updates the Q-Learner model by reinforcing with the new state/action feedback values.

public Learn ( Vector x, double y, double r ) : void
x	numl.Math.LinearAlgebra.Vector	State vector.
y	double	Action label.
r	double	Reward value.
Résultat	void

Predicts the best action for the current state.

public Predict ( Vector y ) : double
y	numl.Math.LinearAlgebra.Vector
Résultat	double

Initializes a new Q-Learner model.

public QLearnerModel ( ) : System
Résultat	System