burlap.behavior.singleagent.learning.modellearning

Interface ModelPlanner

All Known Implementing Classes:

VIModelPlanner

public interface ModelPlanner

Interface for defining planning algorithms that operate on iteratively learned models. Planning algorithms that operate on iteratively learned models must support features for replanning when the model changes and returning the policy of the plan under the current model.

Author:

James MacGlashan

Nested Class Summary

Nested Classes

Modifier and Type	Interface and Description
static interface	ModelPlanner.ModelPlannerGenerator

Method Summary

Methods

Modifier and Type	Method and Description
void	initializePlannerIn(State s) This is method is expected to be called at the beginning of any new learning episode.
void	modelChanged(State changedState) Tells the planner that the model has changed and that it will need to replan accordingly
Policy	modelPlannedPolicy() Returns a policy encoding the planner's results.
void	resetPlanner() Resets planner as if no planning had never been called.

Method Detail

initializePlannerIn

void initializePlannerIn(State s)

This is method is expected to be called at the beginning of any new learning episode. This may be useful for planning algorithms that do not solve the policy for every state since new episodes may starts in epsidoes the planning algorithm had not previously considered. before a learning episode begins.

Parameters:

s - the input state

modelChanged

void modelChanged(State changedState)

Tells the planner that the model has changed and that it will need to replan accordingly

Parameters:

changedState - the source state that caused a change in the model.

modelPlannedPolicy

Policy modelPlannedPolicy()

Returns a policy encoding the planner's results.

Returns:

a policy object

resetPlanner

void resetPlanner()

Resets planner as if no planning had never been called.