ven-kyoshiro/gym_classic_error_in_server.py

## gym_classic_error_in_server.py
import chainer
import chainer.functions as F
import chainer.links as L
import chainerrl
import gym
import numpy as np

# 描画用
import matplotlib as mpl
mpl.use('Agg')

import matplotlib.pyplot as plt
from IPython import display
def show_state(env, step=0, info=""):
    plt.figure(3)
    plt.clf()
    plt.imshow(env.render(mode='rgb_array'))
    plt.title("Step: %d %s" % (step, info))
    plt.axis('off')


env = gym.make('Acrobot-v1')
print('observation space:', env.observation_space)
print('action space:', env.action_space)

obs = env.reset()
show_state(env, step=0, info="")
print('initial observation:', obs)

action = env.action_space.sample()
obs, r, done, info = env.step(action)
print('next observation:', obs)
print('reward:', r)
print('done:', done)
print('info:', info)
	import chainer
	import chainer.functions as F
	import chainer.links as L
	import chainerrl
	import gym
	import numpy as np

	# 描画用
	import matplotlib as mpl
	mpl.use('Agg')

	import matplotlib.pyplot as plt
	from IPython import display
	def show_state(env, step=0, info=""):
	plt.figure(3)
	plt.clf()
	plt.imshow(env.render(mode='rgb_array'))
	plt.title("Step: %d %s" % (step, info))
	plt.axis('off')


	env = gym.make('Acrobot-v1')
	print('observation space:', env.observation_space)
	print('action space:', env.action_space)

	obs = env.reset()
	show_state(env, step=0, info="")
	print('initial observation:', obs)

	action = env.action_space.sample()
	obs, r, done, info = env.step(action)
	print('next observation:', obs)
	print('reward:', r)
	print('done:', done)
	print('info:', info)