Fixed minor representation issues

cooperative_cuisine/reinforcement_learning/obs_converter/advanced_converter_int.py

@@ -101,7 +101,6 @@ class AdvancedStateConverterInt(StateToObservationConverter):
         for free_idx in grid_idxs:
             grid[free_idx[0]][free_idx[1]].append(self.counter_list.index("Empty"))
             grid[free_idx[0]][free_idx[1]].append(self.counter_list.index("Empty"))
-
         return np.array(grid)
 
     def vectorize_item(self, item, item_list):
@@ -109,7 +108,7 @@ class AdvancedStateConverterInt(StateToObservationConverter):
             item_name = "None"
         elif isinstance(item, deque):
             if len(item) > 0:
-                item = item[0]
+                item = item[-1]
                 item_name = item.name
             else:
                 item = None
@@ -126,7 +125,7 @@ class AdvancedStateConverterInt(StateToObservationConverter):
                 print("Ohohoho Percentage kann 100 werden ")
                 time.sleep(20)
                 return "Abort"
-            encoding += item.progress_percentage
+            encoding += int(item.progress_percentage *100)
             encoding *= 100
         else:
             encoding *= 100
@@ -141,7 +140,7 @@ class AdvancedStateConverterInt(StateToObservationConverter):
         for item in containing_items:
             encoding += item
             encoding *= 100
-        return encoding / 100
+        return encoding
 
     @staticmethod
     def vectorize_counter(counter, counter_list):