diff --git a/app.py b/app.py
index 7595735..bdae6b1 100644
--- a/app.py
+++ b/app.py
@@ -53,6 +53,8 @@ def initBoard():
     cells[9][9].waga = 2
     cells[9][8].waga = 10
     cells[8][8].waga = 10
+    cells[prefs.SPAWN_POINT[0]+1][prefs.SPAWN_POINT[1]].waga = 100
+    cells[prefs.SPAWN_POINT[0]][prefs.SPAWN_POINT[1]-1].waga = 100
 
     cells[9][7].waga = 2
     cells[10][6].waga = 2
@@ -66,7 +68,8 @@ def draw_grid(window, cells, agent):
             pygame.draw.rect(window, cell.color, (i*prefs.CELL_SIZE, j*prefs.CELL_SIZE, prefs.CELL_SIZE, prefs.CELL_SIZE))
             if(cells[i][j].interactableItem):
                 cells[i][j].interactableItem.update(window)
-            cells[i][j].blit_text(cells[i][j].waga, i*50+6, j*52+6, 12,window)
+            if(not cells[i][j].blocking_movement):
+                cells[i][j].blit_text(cells[i][j].waga, i*50+6, j*52+6, 12,window)
     font = pygame.font.SysFont('Comic Sans MS', 30)
     scoreText = font.render("Score: {}".format(str(round(agent.score,2))), 1, (0, 0, 0))
     multiplierText = font.render("Multiplier: {}".format(str(round(agent.multiplier,2))), 1, (0, 0, 0))
diff --git a/classes/agent.py b/classes/agent.py
index 9934be7..ec9ed83 100644
--- a/classes/agent.py
+++ b/classes/agent.py
@@ -213,6 +213,8 @@ class Agent:
 
         return possible_moves
 
+    def calculate_priority(self, el):
+        return el[0]
 
     def bfs2(self, target_x, target_y):
         visited = set()
@@ -221,8 +223,8 @@ class Agent:
         #print(start_state)
         queue = []
         heapq.heappush(queue, (0,(start_state, [], 0)))
-
         while queue:
+            queue.sort(key=self.calculate_priority)         
             _, que = heapq.heappop(queue)
             state, actions, gscore = que
             self.xPOM, self.yPOM, self.directionPOM = state
@@ -256,9 +258,15 @@ class Agent:
                 if 0 <= new_x < prefs.GRID_SIZE and 0 <= new_y < prefs.GRID_SIZE \
                         and not self.cells[new_x][new_y].blocking_movement:
                     new_state = (new_x, new_y, new_direction)
+
+                    if (action == 'left' or action == 'right') :
+                        gscore = gscore + 1
+                    else:
+                        gscore = gscore + self.cells[new_x][new_y].waga
+
                     f_score = gscore + self.heuristic((new_x,new_y), (target_x,target_y))
-                    gscore = gscore + self.cells[new_x][new_y].waga
-                    heapq.heappush(queue, (f_score, (new_state, new_actions, gscore+1)))
+
+                    heapq.heappush(queue, (f_score, (new_state, new_actions, gscore)))
 
     
         return []