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""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
import numpy as np | |
import cPickle as pickle | |
import gym | |
# hyperparameters | |
H = 200 # number of hidden layer neurons | |
batch_size = 10 # every how many episodes to do a param update? | |
learning_rate = 1e-4 | |
gamma = 0.99 # discount factor for reward |
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# Full example for my blog post at: | |
# https://danijar.com/building-variational-auto-encoders-in-tensorflow/ | |
import numpy as np | |
import matplotlib.pyplot as plt | |
import tensorflow as tf | |
from tensorflow.examples.tutorials.mnist import input_data | |
tfd = tf.contrib.distributions |