public interface SupervisedVFA
train(java.util.List<burlap.behavior.singleagent.planning.vfa.fittedvi.SupervisedVFA.SupervisedVFAInstance>)which takes as input a list of
SupervisedVFA.SupervisedVFAInstanceobjects, runs a regression algorithm, and returns the learned function, which is an interface of
SupervisedVFA.SupervisedVFAInstanceis a pair consisting of a
Stateand the target state value that is to be learned.
|Modifier and Type||Interface and Description|
A pair for a state and it's target value function value.
ValueFunction train(java.util.List<SupervisedVFA.SupervisedVFAInstance> trainingData)
trainingData- the training data to fit.
ValueFunctionthat fits the training data.