/**
* Create the cell world as defined in Figure 17.1 in AIMA3e. (a) A simple 4
* x 3 environment that presents the agent with a sequential decision
* problem.
*
* @return a cell world representation of Fig 17.1 in AIMA3e.
*/
public static CellWorld<Double> createCellWorldForFig17_1()
{
CellWorld<Double> cw = new CellWorld<Double>(4, 3, -0.04);
cw.removeCell(2, 2);
cw.getCellAt(4, 3).setContent(1.0);
cw.getCellAt(4, 2).setContent(-1.0);
return cw;
}
/**
* Constructs an MDP that can be used to generate the utility values
* detailed in Fig 17.3.
*
* @param cw
* the cell world from figure 17.1.
* @return an MDP that can be used to generate the utility values detailed
* in Fig 17.3.
*/
public static MarkovDecisionProcess <Cell <Double>, CellWorldAction> createMDPForFigure17_3(
CellWorld <Double> cw)
{
return(new MDP <Cell <Double>, CellWorldAction>(cw.getCells(),
cw.getCellAt(1, 1), createActionsFunctionForFigure17_1(cw),
createTransitionProbabilityFunctionForFigure17_1(cw),
createRewardFunctionForFigure17_1()));
}
/**
* Returns the allowed actions from a specified cell within the cell world
* described in Fig 17.1.
*
* @param cw
* the cell world from figure 17.1.
* @return the set of actions allowed at a particular cell. This set will be
* empty if at a terminal state.
*/
public static ActionsFunction <Cell <Double>, CellWorldAction> createActionsFunctionForFigure17_1(
CellWorld <Double> cw)
{
Set <Cell <Double> > terminals = new Set <Cell <Double> >();
terminals.add(cw.getCellAt(4, 3));
terminals.add(cw.getCellAt(4, 2));
ActionsFunction <Cell <Double>, CellWorldAction> af = null;
//new ActionsFunction<Cell<Double>, CellWorldAction>() {
//};
// TODO
return(af);
}
