fix typo in dqn

examples/DeepQNetwork/DQN.py

@@ -153,7 +153,7 @@ class Model(ModelDesc):
         lr = symbf.get_scalar_var('learning_rate', 1e-3, summary=True)
         opt = tf.train.AdamOptimizer(lr, epsilon=1e-3)
         return optimizer.apply_grad_processors(
-            opt, [gradproc.GlobalNormalClip(10), gradproc.SummaryGradient()])
+            opt, [gradproc.GlobalNormClip(10), gradproc.SummaryGradient()])
 
 
 def get_config():

examples/DeepQNetwork/README.md

@@ -19,12 +19,12 @@ Claimed performance in the paper can be reproduced, on several games I've tested
 
 ![DQN](curve-breakout.png)
 
-DQN typically took 2 days of training to reach a score of 400 on breakout game.
+DQN typically took 2 days of training to reach a score of 400 on breakout game (same as the paper).
 My Batch-A3C implementation only took <2 hours.
 Both were trained on one GPU with an extra GPU for simulation.
 
 The x-axis is the number of iterations, not wall time.
-D-DQN is faster at the beginning but will converge to 12 batches/s (768 frames/s) due of exploration annealing.
+Double-DQN is faster at the beginning but will converge to 12 batches/s (768 frames/s) due of exploration annealing.
 
 ## How to use