Sebastian Ibarguen sebasibarguen

## rl_pong.py
'''Solves Pong with Policy Gradients in Tensorflow.'''
# written October 2016 by Sam Greydanus
# inspired by karpathy's gist.github.com/karpathy/a4166c7fe253700972fcbc77e4ea32c5
import numpy as np
import gym
import tensorflow as tf

# hyperparameters
n_obs = 80 * 80           # dimensionality of observations
h = 200                   # number of hidden layer neurons

## Basic CSS structure
body {
  background-color: white;
}
h1, h2 {
  color: black;
}

.lesson {
  padding: 10px;
  margin: 10px;

## gist:6040393
from google.appengine.ext import ndb

form = generate_form(MyModel)

>>> print form
[ {'Email' : '<input type="text" name="email">'} ]
	'''Solves Pong with Policy Gradients in Tensorflow.'''
	# written October 2016 by Sam Greydanus
	# inspired by karpathy's gist.github.com/karpathy/a4166c7fe253700972fcbc77e4ea32c5
	import numpy as np
	import gym
	import tensorflow as tf

	# hyperparameters
	n_obs = 80 * 80 # dimensionality of observations
	h = 200 # number of hidden layer neurons
	body {
	background-color: white;
	}
	h1, h2 {
	color: black;
	}

	.lesson {
	padding: 10px;
	margin: 10px;
	from google.appengine.ext import ndb

	form = generate_form(MyModel)

	>>> print form
	[ {'Email' : '<input type="text" name="email">'} ]