diff --git a/env.py b/env.py
index b5a54c4..4dd4d68 100644
--- a/env.py
+++ b/env.py
@@ -124,7 +124,7 @@ class PartitionMazeEnv(gym.Env):
                 for i in range(len(self.row_cuts) - 1):
                     for j in range(len(self.col_cuts) - 1):
                         d = (self.col_cuts[j+1] - self.col_cuts[j]) * self.W * \
-                            (self.row_cuts[i] + self.row_cuts[i+1]) * self.H
+                            (self.row_cuts[i+1] - self.row_cuts[i]) * self.H
                         rho_time_limit = (self.flight_time_factor - self.trans_time_factor) / \
                             (self.comp_time_factor - self.trans_time_factor)
                         rho_energy_limit = (self.battery_energy_capacity - self.flight_energy_factor * d - self.trans_energy_factor * d) / \
diff --git a/human_action.py b/human_action.py
new file mode 100644
index 0000000..92df03f
--- /dev/null
+++ b/human_action.py
@@ -0,0 +1,15 @@
+from env import PartitionMazeEnv
+
+env = PartitionMazeEnv()
+
+state = env.reset()
+print(state)
+
+action_series = [[0], [0], [0.5], [0], [0.1], [0.3]]
+
+for i in range(10):
+    action = action_series[i]
+    state, reward, done, info, _ = env.step(action)
+    print(state, reward, done, info)
+    if done:
+        break
\ No newline at end of file