/*
* Javlov - a Java toolkit for reinforcement learning with multi-agent support.
*
* Copyright (c) 2009 Matthijs Snel
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
package net.javlov.world.grid;
import java.awt.Shape;
import net.javlov.Agent;
import net.javlov.State;
import net.javlov.VectorState;
import net.javlov.world.BasicAgentBody;
public class GridAgentBody extends BasicAgentBody {
protected VectorState[][] gridStates;
public GridAgentBody() {}
public GridAgentBody(Shape figure) {
super(figure);
}
@Override
public State<double[]> getObservation(Agent agent) {
State<double[]> st = super.getObservation(agent);
//rubbish
if ( gridStates != null ) {
double[] pos = st.getData();
if ( pos.length != 2 )
throw new IllegalStateException("Preloading states only works with GridGPSSensor");
return gridStates[(int)pos[0]][(int)pos[1]];
}
return st;
}
public void preLoadStates(int width, int height) {
gridStates = new VectorState[width][height];
for ( int i = 0; i < width; i++ )
for ( int j = 0; j < height; j++ )
gridStates[i][j] = new VectorState(new double[]{i, j});
}
}