Minor PEP8 fixes in DQN.py (#600)

* PEP8 fixes * Update changelog.rst
Stable-Baselines-Team · Dec 5, 2019 · 79646cf · 79646cf
1 parent aaf9f41
commit 79646cf
Show file tree

Hide file tree

Showing 2 changed files with 2 additions and 2 deletions.
diff --git a/docs/misc/changelog.rst b/docs/misc/changelog.rst
@@ -50,6 +50,7 @@ Others:
 - Refactored test to remove duplicated code
 - Add pull request template
 - Replaced redundant code in load_results (@jbulow)
+- Minor PEP8 fixes in dqn.py (@justinkterry)
 
 Documentation:
 ^^^^^^^^^^^^^^

diff --git a/stable_baselines/deepq/dqn.py b/stable_baselines/deepq/dqn.py
@@ -178,7 +178,6 @@ def learn(self, total_timesteps, callback=None, log_interval=100, tb_log_name="D
                 assert not self.prioritized_replay, "Prioritized replay buffer is not supported by HER"
                 self.replay_buffer = replay_wrapper(self.replay_buffer)
 
-
             # Create the schedule for exploration starting from 1.
             self.exploration = LinearSchedule(schedule_timesteps=int(self.exploration_fraction * total_timesteps),
                                               initial_p=self.exploration_initial_eps,
@@ -242,7 +241,7 @@ def learn(self, total_timesteps, callback=None, log_interval=100, tb_log_name="D
                 # or if there are not enough samples in the replay buffer
                 can_sample = self.replay_buffer.can_sample(self.batch_size)
                 if can_sample and self.num_timesteps > self.learning_starts \
-                    and self.num_timesteps % self.train_freq == 0:
+                        and self.num_timesteps % self.train_freq == 0:
                     # Minimize the error in Bellman's equation on a batch sampled from replay buffer.
                     # pytype:disable=bad-unpacking
                     if self.prioritized_replay: