Changeset 11801

Timestamp:

01/20/15 13:00:50 (9 years ago)

Author:

gkronber

Message:

#2283 comment and new test runs

File:

• branches/HeuristicLab.Problems.GrammaticalOptimization/Main/Program.cs (modified) (4 diffs)

branches/HeuristicLab.Problems.GrammaticalOptimization/Main/Program.cs

@@ -24 +24 @@
       CultureInfo.DefaultThreadCurrentCulture = CultureInfo.InvariantCulture;
 
-      RunDemo();
-      //RunGridTest();
+      //RunDemo();
+      RunGridTest();
     }
 
@@ -53 +53 @@
          () => new EpsGreedyPolicy(0.2), 
          () => new EpsGreedyPolicy(0.5), 
+         () => new UCTPolicy(0.01),
+         () => new UCTPolicy(0.05),
          () => new UCTPolicy(0.1),
          () => new UCTPolicy(0.5),
@@ -98 +100 @@
       var instanceFactories = new Func<Random, Tuple<IProblem, int>>[]
       {
-        (rand) => Tuple.Create((IProblem)new SantaFeAntProblem(), 17),
+        //(rand) => Tuple.Create((IProblem)new SantaFeAntProblem(), 17),
         (rand) => Tuple.Create((IProblem)new FindPhrasesProblem(rand, 10, numPhrases:5, phraseLen:3, numOptimalPhrases:5, numDecoyPhrases:0, correctReward:1, decoyReward:0, phrasesAsSets:false ), 15),
         (rand) => Tuple.Create((IProblem)new FindPhrasesProblem(rand, 10, numPhrases:5, phraseLen:3, numOptimalPhrases:5, numDecoyPhrases:0, correctReward:1, decoyReward:0, phrasesAsSets:true ), 15),
         (rand) => Tuple.Create((IProblem)new FindPhrasesProblem(rand, 10, numPhrases:5, phraseLen:3, numOptimalPhrases:5, numDecoyPhrases:200, correctReward:1, decoyReward:0.5, phrasesAsSets:false), 15),
         (rand) => Tuple.Create((IProblem)new FindPhrasesProblem(rand, 10, numPhrases:5, phraseLen:3, numOptimalPhrases:5, numDecoyPhrases:200, correctReward:1, decoyReward:0.5, phrasesAsSets:true), 15),
-        (rand) => Tuple.Create((IProblem)new SymbolicRegressionPoly10Problem(), 23)
+        //(rand) => Tuple.Create((IProblem)new SymbolicRegressionPoly10Problem(), 23)
       };
 
       foreach (var instanceFactory in instanceFactories) {
-        foreach (var useCanonical in new bool[] { true, false }) {
-          foreach (var randomTries in new int[] { 0, 1, 10, /* 5, 100 /*, 500, 1000 */}) {
+        foreach (var useCanonical in new bool[] { true /*, false */ }) {
+          foreach (var randomTries in new int[] { 0, /* 1, 10, /* 5, 100 /*, 500, 1000 */}) {
             foreach (var policyFactory in policyFactories) {
               var myRandomTries = randomTries;
@@ -204 +206 @@
       // - EpsGreedyPolicy(0.20,max)
       // - GenericThompsonSamplingPolicy("")
-      // - UCTPolicy(0.10) (5 of 5 runs, 35000 iters avg.)
+      // - UCTPolicy(0.10) (5 of 5 runs, 35000 iters avg.), 10 successful runs of 10 with rand-tries 0, bei 40000 iters 9 / 10, bei 30000 1 / 10
 
       // good results for artificial ant: