diff --git a/src/main/java/de/monticore/lang/monticar/cnnarch/gluongenerator/ReinforcementConfigurationData.java b/src/main/java/de/monticore/lang/monticar/cnnarch/gluongenerator/ReinforcementConfigurationData.java
index 344a4b073a279f0bbd594ed066a8c691efa59902..770af5e48d225f386e15f81830a4497b85561cc7 100644
--- a/src/main/java/de/monticore/lang/monticar/cnnarch/gluongenerator/ReinforcementConfigurationData.java
+++ b/src/main/java/de/monticore/lang/monticar/cnnarch/gluongenerator/ReinforcementConfigurationData.java
@@ -193,30 +193,28 @@ public class ReinforcementConfigurationData extends ConfigurationData {
         assert isReinforcementLearning(): "Strategy parameter only for reinforcement learning but called in a " +
          " non reinforcement learning context";
         Map<String, Object> strategyParams = getMultiParamEntry(AST_ENTRY_STRATEGY, "method");
-        if (strategyParams.get("method").equals(STRATEGY_ORNSTEIN_UHLENBECK)) {
-            assert getConfiguration().getTrainedArchitecture().isPresent(): "Architecture not present," +
-             " but reinforcement training";
-            TrainedArchitecture trainedArchitecture = getConfiguration().getTrainedArchitecture().get();
-            final String actionPortName = getOutputNameOfTrainedArchitecture();
-            Range actionRange = trainedArchitecture.getRanges().get(actionPortName);
-
-            if (actionRange.isLowerLimitInfinity() && actionRange.isUpperLimitInfinity()) {
-                strategyParams.put("action_low", null);
-                strategyParams.put("action_high", null);
-            } else if(!actionRange.isLowerLimitInfinity() && actionRange.isUpperLimitInfinity()) {
-                assert actionRange.getLowerLimit().isPresent();
-                strategyParams.put("action_low", actionRange.getLowerLimit().get());
-                strategyParams.put("action_high", null);
-            } else if (actionRange.isLowerLimitInfinity() && !actionRange.isUpperLimitInfinity()) {
-                assert actionRange.getUpperLimit().isPresent();
-                strategyParams.put("action_low", null);
-                strategyParams.put("action_high", actionRange.getUpperLimit().get());
-            } else {
-                assert actionRange.getLowerLimit().isPresent();
-                assert actionRange.getUpperLimit().isPresent();
-                strategyParams.put("action_low", actionRange.getLowerLimit().get());
-                strategyParams.put("action_high", actionRange.getUpperLimit().get());
-            }
+        assert getConfiguration().getTrainedArchitecture().isPresent(): "Architecture not present," +
+         " but reinforcement training";
+        TrainedArchitecture trainedArchitecture = getConfiguration().getTrainedArchitecture().get();
+        final String actionPortName = getOutputNameOfTrainedArchitecture();
+        Range actionRange = trainedArchitecture.getRanges().get(actionPortName);
+
+        if (actionRange.isLowerLimitInfinity() && actionRange.isUpperLimitInfinity()) {
+            strategyParams.put("action_low", null);
+            strategyParams.put("action_high", null);
+        } else if(!actionRange.isLowerLimitInfinity() && actionRange.isUpperLimitInfinity()) {
+            assert actionRange.getLowerLimit().isPresent();
+            strategyParams.put("action_low", actionRange.getLowerLimit().get());
+            strategyParams.put("action_high", null);
+        } else if (actionRange.isLowerLimitInfinity() && !actionRange.isUpperLimitInfinity()) {
+            assert actionRange.getUpperLimit().isPresent();
+            strategyParams.put("action_low", null);
+            strategyParams.put("action_high", actionRange.getUpperLimit().get());
+        } else {
+            assert actionRange.getLowerLimit().isPresent();
+            assert actionRange.getUpperLimit().isPresent();
+            strategyParams.put("action_low", actionRange.getLowerLimit().get());
+            strategyParams.put("action_high", actionRange.getUpperLimit().get());
         }
         return strategyParams;
     }
diff --git a/src/main/resources/templates/gluon/reinforcement/params/StrategyParams.ftl b/src/main/resources/templates/gluon/reinforcement/params/StrategyParams.ftl
index 7792bee473f03c0f98c4955712a5aa359e169e16..e5ef1ee588d2a4255761121965429022a76c96d0 100644
--- a/src/main/resources/templates/gluon/reinforcement/params/StrategyParams.ftl
+++ b/src/main/resources/templates/gluon/reinforcement/params/StrategyParams.ftl
@@ -19,7 +19,7 @@
 <#if (config.strategy.epsilon_decay_per_step)??>
             'epsilon_decay_per_step': ${config.strategy.epsilon_decay_per_step?string('True', 'False')},
 </#if>
-<#if (config.strategy.method)?? && (config.strategy.method=="ornstein_uhlenbeck")>
+<#if (config.strategy.method)?? && (config.strategy.method=="ornstein_uhlenbeck" || config.strategy.method=="gaussian")>
 <#if (config.strategy.action_low)?? >
             'action_low': ${config.strategy.action_low},
 <#else>
@@ -30,6 +30,8 @@
 <#else>
             'action_high' : np.infty,
 </#if>
+</#if>
+<#if (config.strategy.method)?? && (config.strategy.method=="ornstein_uhlenbeck")>
 <#if (config.strategy.mu)??>
             'mu': [<#list config.strategy.mu as m>${m}<#if m?has_next>, </#if></#list>],
 </#if>