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add constant for default reward

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kono
2020-04-02 14:01:37 +02:00
parent e7404a8d24
commit 740289ee2b
12 changed files with 14 additions and 19 deletions
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src/main/java/core/algo/Learning.java
+1 -3
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@@ -16,8 +16,6 @@ import java.util.HashSet;
import java.util.List;
import java.util.Set;
import java.util.concurrent.CopyOnWriteArrayList;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
/**
*
@@ -99,7 +97,7 @@ public abstract class Learning<A extends Enum>{
public void save(ObjectOutputStream oos) throws IOException {
oos.writeObject(rewardHistory);
oos.writeObject(stateActionTable);
// oos.writeObject(stateActionTable);
}
public void load(ObjectInputStream ois) throws IOException, ClassNotFoundException {
src/main/java/core/algo/td/QLearningOffPolicyTDControl.java
+1 -2
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@@ -7,7 +7,6 @@ import core.policy.GreedyPolicy;
import core.policy.Policy;
import evironment.antGame.Reward;
import example.ContinuousAnt;
import example.DinoSampling;
import java.io.File;
import java.io.IOException;
@@ -77,7 +76,7 @@ public class QLearningOffPolicyTDControl<A extends Enum> extends EpisodicLearnin
foodCollected++;
foodTimestampsTotal += timestampTilFood;
if(foodCollected % 1000 == 0){
System.out.println(foodTimestampsTotal/1000f);
System.out.println(foodTimestampsTotal / 1000f + " " + timestampCurrentEpisode);
File file = new File(ContinuousAnt.FILE_NAME);
try {
Files.writeString(Path.of(file.getPath()), foodTimestampsTotal/1000f +",", StandardOpenOption.APPEND);