Class BoltzmannExploration

Boltzmann distribution exploration policy.
Inheritance
System.Object
BoltzmannExploration
Implements
Inherited Members
System.Object.Equals(System.Object)
System.Object.Equals(System.Object, System.Object)
System.Object.GetHashCode()
System.Object.GetType()
System.Object.MemberwiseClone()
System.Object.ReferenceEquals(System.Object, System.Object)
System.Object.ToString()
Namespace: Mars.Components.Services.Explorations
Assembly: Mars.Components.dll
Syntax
[Serializable]
public class BoltzmannExploration : IExplorationPolicy
Remarks

The class implements exploration policy base on Boltzmann distribution. According 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.

Constructors

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BoltzmannExploration(Double)

Initializes a new instance of the BoltzmannExploration class.
Declaration
public BoltzmannExploration(double temperature)
Parameters
Type Name Description
System.Double temperature Temperature parameter of Boltzmann distribution.
Remarks

The class implements exploration policy base on Boltzmann distribution. According 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.

See Also

Properties

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Temperature

Temperature parameter of Boltzmann distribution. Should be greater than 0.
Declaration
public double Temperature { get; set; }
Property Value
Type Description
System.Double
Remarks

The property sets the balance between exploration and greedy actions. If temperature is low, then the policy tends to be more greedy.

See Also

Methods

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ChooseAction(Double[])

Choose an action.
Declaration
public int ChooseAction(double[] actionEstimates)
Parameters
Type Name Description
System.Double[] actionEstimates Action estimates.
Returns
Type Description
System.Int32 Returns selected action.
Remarks
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).
See Also

Implements

Extension Methods

See Also