diff --git a/pyrobolearn/rewards/__init__.py b/pyrobolearn/rewards/__init__.py
index bd6f0c1..1b3f2ed 100644
--- a/pyrobolearn/rewards/__init__.py
+++ b/pyrobolearn/rewards/__init__.py
@@ -11,3 +11,5 @@ from .gym_reward import GymReward
 # import costs
 from .cost import *
 
+# import processors
+from .processors import *
diff --git a/pyrobolearn/rewards/processors/__init__.py b/pyrobolearn/rewards/processors/__init__.py
new file mode 100644
index 0000000..fa1a8eb
--- /dev/null
+++ b/pyrobolearn/rewards/processors/__init__.py
@@ -0,0 +1,3 @@
+
+# import reward processors
+from .reward_processor import *
diff --git a/pyrobolearn/rewards/reward_processor.py b/pyrobolearn/rewards/processors/reward_processor.py
similarity index 99%
rename from pyrobolearn/rewards/reward_processor.py
rename to pyrobolearn/rewards/processors/reward_processor.py
index 54b709a..f1daae4 100644
--- a/pyrobolearn/rewards/reward_processor.py
+++ b/pyrobolearn/rewards/processors/reward_processor.py
@@ -5,7 +5,8 @@ It processes the rewards before returning them; this can be useful to standardiz
 """
 
 import numpy as np
-from reward import Reward
+
+from pyrobolearn.rewards.reward import Reward
 
 __author__ = "Brian Delhaisse"
 __copyright__ = "Copyright 2018, PyRoboLearn"
@@ -277,7 +278,6 @@ class ScaleRewardProcessor(RewardProcessor):
         self.y2 = y2
         self.ratio = (self.y2 - self.y1) / (self.x2 - self.x1)
 
-    @convert_numpy
     def compute(self):
         reward = self.reward()
         self.value = self.y1 + (reward - self.x1) * self.ratio