Update to add global norm

Author: titu1994

Diff for: train.py

@@ -17,9 +17,9 @@
 NUM_LAYERS = 4  # number of layers of the state space
 MAX_TRIALS = 250  # maximum number of models generated
 
-MAX_EPOCHS = 1  # maximum number of epochs to train
+MAX_EPOCHS = 10  # maximum number of epochs to train
 CHILD_BATCHSIZE = 128  # batchsize of the child models
-EXPLORATION = 0.9  # high exploration for the first 1000 steps
+EXPLORATION = 0.8  # high exploration for the first 1000 steps
 REGULARIZATION = 1e-3  # regularization strength
 CONTROLLER_CELLS = 32  # number of cells in RNN controller
 EMBEDDING_DIM = 20  # dimension of the embeddings for each state