pocokhc

import gym

import pickle
import os
import numpy as np
import random
import time
import traceback
import math

pocokhc

import gym

import pickle
import os
import numpy as np
import random
import math
import time

import tensorflow as tf

pocokhc

import gym

import pickle
import os
import numpy as np
import random
import math
import time

import tensorflow as tf

pocokhc

import gym
import pickle
import os
import rl.core
import numpy as np
import matplotlib.pyplot as plt
import random
import math
import time

pocokhc

import gym

import pickle
import os
import numpy as np
import random
import time
import traceback
import math

pocokhc

import gym

import pickle
import os
import numpy as np
import random
import math

import tensorflow as tf

pocokhc

from keras.models import Sequential
from keras.layers import *
from keras.optimizers import Adam
from keras.preprocessing.sequence import TimeseriesGenerator
from keras.utils import np_utils
from keras import backend as K

import matplotlib.pyplot as plt
import numpy as np
import random

pocokhc

import gym

import pickle
import os
import numpy as np
import random

import tensorflow as tf

from keras.optimizers import Adam

pocokhc

'''Trains a simple convnet on the MNIST dataset.
Gets to 99.25% test accuracy after 12 epochs
(there is still a lot of margin for parameter tuning).
16 seconds per epoch on a GRID K520 GPU.
'''

from __future__ import print_function
import keras
from keras.datasets import mnist
from keras.models import Sequential

pocokhc

import gym

import pickle
import os
import numpy as np
import random
import time
import traceback

import tensorflow as tf