diff --git a/rl_baselines/rl_algorithm/sac.py b/rl_baselines/rl_algorithm/sac.py
index 04f221e7e..0577d10f5 100644
--- a/rl_baselines/rl_algorithm/sac.py
+++ b/rl_baselines/rl_algorithm/sac.py
@@ -1,10 +1,9 @@
-import pickle
 import os
+import pickle
 
-import numpy as np
 from stable_baselines import SAC
-from stable_baselines.sac.policies import MlpPolicy, CnnPolicy
 from stable_baselines.common.vec_env import VecNormalize, DummyVecEnv
+from stable_baselines.sac.policies import MlpPolicy, CnnPolicy
 
 from environments.utils import makeEnv
 from rl_baselines.base_classes import StableBaselinesRLObject
diff --git a/rl_baselines/train.py b/rl_baselines/train.py
index 31bf66ab2..fa910c85f 100644
--- a/rl_baselines/train.py
+++ b/rl_baselines/train.py
@@ -61,8 +61,10 @@ def latestPath(path):
     :param path: path to the log folder (defined in srl_model.yaml) (str)
     :return: path to latest learned model in the same dataset folder (str)
     """
-    return max([path + "/" + d for d in os.listdir(path) if not d.startswith('baselines') and os.path.isdir(path + "/" + d)],
-                key=os.path.getmtime) + '/srl_model.pth'
+    return max(
+        [path + "/" + d for d in os.listdir(path) if not d.startswith('baselines') and os.path.isdir(path + "/" + d)],
+        key=os.path.getmtime) + '/srl_model.pth'
+
 
 def configureEnvAndLogFolder(args, env_kwargs, all_models):
     """
@@ -199,7 +201,8 @@ def main():
     parser.add_argument('--srl-config-file', type=str, default="config/srl_models.yaml",
                         help='Set the location of the SRL model path configuration.')
     parser.add_argument('--hyperparam', type=str, nargs='+', default=[])
-    parser.add_argument('--min-episodes-save', type=int, default=100, help="Min number of episodes before saving best model")
+    parser.add_argument('--min-episodes-save', type=int, default=100,
+                        help="Min number of episodes before saving best model")
     parser.add_argument('--latest', action='store_true', default=False,
                         help='load the latest learned model (location:srl_zoo/logs/DatasetName/)')
 
diff --git a/rl_baselines/utils.py b/rl_baselines/utils.py
index 6f0c47bb1..336214a79 100644
--- a/rl_baselines/utils.py
+++ b/rl_baselines/utils.py
@@ -140,7 +140,6 @@ def get_original_obs(self):
         """
         return self.venv.get_original_obs()
 
-
     def saveRunningAverage(self, path):
         """
         Hack to use VecNormalize