njp947

import argparse
import numpy
import keras
import gym
import cma

parser = argparse.ArgumentParser()
parser.add_argument("environment")
args = parser.parse_args()

njp947

import argparse
import numpy
import keras
import gym
import cma

parser = argparse.ArgumentParser()
parser.add_argument("environment")
args = parser.parse_args()

njp947

import argparse
import numpy
import keras
import gym
import cma

parser = argparse.ArgumentParser()
parser.add_argument("environment")
args = parser.parse_args()

njp947

import argparse
import numpy
import keras
import gym
import cma

parser = argparse.ArgumentParser()
parser.add_argument("environment")
args = parser.parse_args()

njp947

import argparse
import numpy
import keras
import gym
import cma

parser = argparse.ArgumentParser()
parser.add_argument("environment")
args = parser.parse_args()

njp947

import argparse
import numpy
import keras
import gym

def ce(f, th_mean, sigma0):
	n_elite = int(numpy.round(200*0.2))
	th_std = numpy.ones_like(th_mean) * sigma0

	for _ in range(50):

njp947

import argparse
import numpy
import keras
import gym

def ce(f, th_mean, sigma0):
	n_elite = int(numpy.round(200*0.2))
	th_std = numpy.ones_like(th_mean) * sigma0

	for _ in range(50):

njp947

import argparse
import numpy
import keras
import gym

def ce(f, th_mean, sigma0):
	n_elite = int(numpy.round(200*0.2))
	th_std = numpy.ones_like(th_mean) * sigma0

	for _ in range(50):

njp947

import argparse
import numpy
import keras
import gym
import cma

parser = argparse.ArgumentParser()
parser.add_argument("environment")
args = parser.parse_args()

njp947

import argparse
import numpy
import keras
import gym
import cma

parser = argparse.ArgumentParser()
parser.add_argument("environment")
args = parser.parse_args()