Epsilon value (exploration rate), [0, 1].

Namespace:  AForge.MachineLearning
Assembly:  AForge.MachineLearning (in AForge.MachineLearning.dll) Version: (


public double Epsilon { get; set; }


The value determines the amount of exploration driven by the policy. If the value is high, then the policy drives more to exploration - choosing random action, which excludes the best one. If the value is low, then the policy is more greedy - choosing the beat so far action.

See Also