kkweon

"""
Simple policy gradient in Keras

"""
import gym
import numpy as np

from keras import layers
from keras.models import Model
from keras import backend as K

shanest

#!/usr/bin/env python

import gym
import numpy as np
import tensorflow as tf


class PolicyGradientAgent(object):

    def __init__(self, hparams, sess):

jkleint

#!/usr/bin/env python
"""
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
"""

from __future__ import print_function, division

import numpy as np
from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten
from keras.models import Sequential