Iter_Policy_Evaluation - Evaluate a policy.

Calling Sequence

[V,T_V]=Iter_Policy_Evaluation(NbStates, NbActions, TransProb, Rewards, Gamma, Prob)

Parameters

• NbStates : Number of states of the agent could go in
• NbActions : Number of actions the agent could make
• TransProb : List representing the probabilities of transition between two states with a given action. Size of the list : NbActions, Size of each element : NbStates x NbStates
• Rewards : List with the rewards given by the environnment to the agent when it choose an action from a given state. Size of the list : NbActions, Size of each element : NbStates x NbStates
• Gamma : Parameter influencing "the memory" of the agent. 0 < G < 1
• Policy : Matrix representing the policy to eval. Size : NbActions x NbStates
• V : Matrix with the value of each state. Size : NbStates x 1
• T_V : List with all the matrices Vcalculated by the function.

Description

Evaluate the policy given in parameter for the environnment described by the others parameters.

Examples

None
 

See Also