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#!/usr/bin/env python | |
import gym | |
import numpy as np | |
import tensorflow as tf | |
from tensorflow.python.ops import random_ops | |
def _initializer(shape, dtype=tf.float32, partition_info=None): | |
return random_ops.random_normal(shape) |
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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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alias undeployed="heroku releases -a APP_NAME | sed -n 2p | cut -d' ' -f4 | xargs -J % git log --oneline --decorate --color --graph master --not %" |