org.deeplearning4j.malmo.MalmoDescretePositionPolicy Maven / Gradle / Ivy
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* Copyright (c) 2015-2018 Skymind, Inc.
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* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
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package org.deeplearning4j.malmo;
import java.util.Arrays;
import com.microsoft.msr.malmo.WorldState;
/**
* A Malmo consistency policy that ensures the both there is a reward and next observation has a different position that the previous one.
* This will only work for your mission if you require that every action moves to a new location.
* @author howard-abrams ([email protected]) on 1/12/17.
*/
public class MalmoDescretePositionPolicy implements MalmoObservationPolicy {
MalmoObservationSpacePosition observationSpace = new MalmoObservationSpacePosition();
@Override
public boolean isObservationConsistant(WorldState world_state, WorldState original_world_state) {
MalmoBox last_observation = observationSpace.getObservation(world_state);
MalmoBox old_observation = observationSpace.getObservation(original_world_state);
double[] newvalues = old_observation == null ? null : old_observation.toArray();
double[] oldvalues = last_observation == null ? null : last_observation.toArray();
return !(world_state.getObservations().isEmpty() || world_state.getRewards().isEmpty()
|| Arrays.equals(oldvalues, newvalues));
}
}