diff --git a/DSSE/environment/coverage_env.py b/DSSE/environment/coverage_env.py
index b934e03b..610c7407 100644
--- a/DSSE/environment/coverage_env.py
+++ b/DSSE/environment/coverage_env.py
@@ -12,9 +12,9 @@ class CoverageDroneSwarmSearch(DroneSwarmSearchBase):
     }
     reward_scheme = Reward(
         default=0,
-        leave_grid=-100,
+        leave_grid=-10,
         exceed_timestep=-100,
-        drones_collision=-100,
+        drones_collision=-10,
         search_cell=10,
         search_and_find=100,
     )
@@ -132,7 +132,7 @@ def step(self, actions: dict[str, int]) -> tuple:
             self.agents_positions[idx] = new_position
             new_x, new_y = new_position
             if new_position in self.not_seen_states:
-                reward_poc = 1 / (self.timestep) * prob_matrix[new_y, new_x] * 1_000
+                reward_poc = (1 / (self.timestep)) * prob_matrix[new_y, new_x] * 1_000
                 rewards[agent] = self.reward_scheme.search_cell + reward_poc
                 self.seen_states.add(new_position)
                 self.not_seen_states.remove(new_position)
diff --git a/DSSE/environment/env.py b/DSSE/environment/env.py
index 48119680..3e516b13 100644
--- a/DSSE/environment/env.py
+++ b/DSSE/environment/env.py
@@ -18,12 +18,12 @@ class DroneSwarmSearch(DroneSwarmSearchBase):
     }
 
     reward_scheme = Reward(
-        default=1,
-        leave_grid=-100_000,
-        exceed_timestep=-100_000,
-        drones_collision=-100_000,
+        default=0.1,
+        leave_grid=-200,
+        exceed_timestep=-200,
+        drones_collision=-200,
         search_cell=1,
-        search_and_find=100_000,
+        search_and_find=200,
     )
 
     def __init__(
@@ -262,9 +262,7 @@ def step(self, actions):
             elif is_searching:
                 prob_matrix = self.probability_matrix.get_matrix()
                 rewards[agent] = (
-                    prob_matrix[drone_y][drone_x] * 10000
-                    if prob_matrix[drone_y][drone_x] * 100 > 1
-                    else -100
+                    prob_matrix[drone_y][drone_x]
                 )
 
             self.rewards_sum[agent] += rewards[agent]
diff --git a/DSSE/tests/test_env.py b/DSSE/tests/test_env.py
index e00bbb8c..bfd80754 100644
--- a/DSSE/tests/test_env.py
+++ b/DSSE/tests/test_env.py
@@ -161,7 +161,7 @@ def test_leave_grid_get_negative_reward(grid_size, person_initial_position):
 
     done = False
     reward_sum = 0
-    while not done and reward_sum >= -500_000:
+    while not done and reward_sum >= env.reward_scheme.leave_grid * (env.timestep_limit - 1):
         actions = {"drone0": Actions.UP.value}
         _, reward, terminations, done, _ = env.step(actions)
         done = any(done.values())
diff --git a/DSSE/tests/test_env_coverage.py b/DSSE/tests/test_env_coverage.py
index 70078b44..1c0b1c95 100644
--- a/DSSE/tests/test_env_coverage.py
+++ b/DSSE/tests/test_env_coverage.py
@@ -104,7 +104,7 @@ def test_leave_grid_get_negative_reward(grid_size):
 
     done = False
     reward_sum = 0
-    while not done and reward_sum >= -9_000:
+    while not done and reward_sum >=  (env.reward_scheme.leave_grid * (env.timestep_limit-1)) +1:
         actions = {"drone0": Actions.UP.value}
         _, reward, terminations, done, _ = env.step(actions)
         done = any(done.values())