import gym
import gym_pull
gym_pull.pull('github.com/ppaquette/gym-super-mario')
env = gym.make('ppaquette/SuperMarioBros-1-1-v0')
import gym
import gym_pull
import gym.configuration
import sys
import networkx as nx
import math
import random
import copy
import numpy as np
import pylab as plt
import pandas
gym_pull.pull(
'github.com/ppaquette/gym-super-mario'
) # Only required once, envs will be loaded with import gym_pull afterwards
env = gym.make('ppaquette/SuperMarioBros-1-1-v0')
# env = gym_super_mario_bros.make('SuperMarioBros-v1')
# env = BinarySpaceToDiscreteSpaceEnv(env, COMPLEX_MOVEMENT)
def printObject(D, filename):
with open(filename, 'w') as f:
for x in range(0, len(D)):
lineCounter = 1
for y in range(0, len(D[x])):
if lineCounter == 3:
f.write("{}\n".format(D[x][y]))
lineCounter = 0
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.autograd import Variable
# Importing the packages for OpenAI and Doom
import gym
from gym.wrappers import SkipWrapper
import gym_pull
gym_pull.pull('github.com/ppaquette/gym-doom')
from ppaquette_gym_doom.wrappers.action_space import ToDiscrete
# Importing the other Python files
import experience_replay, image_preprocessing
# Importing the other Python files
import experience_replay, image_preprocessing
import gym_pull
gym_pull.pull('github.com/ppaquette/gym-doom')
class CNN(nn.Module):
def __init__(self, number_actions):
super(CNN, self).__init__()
self.conv1 = nn.Conv2d(in_channels=1, out_channels=32, kernel_size=5)
self.conv2 = nn.Conv2d(in_channels=32, out_channels=32, kernel_size=3)
print (action)
import gym
import gym_pull
gym_pull.pull('github.com/ppaquette/gym-super-mario') # Only required once, envs will be loaded with import gym_pull afterwards
env = gym.make('ppaquette/SuperMarioBros-1-1-v0')
fsdas
import gym
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import gym
import gym_pull
gym_pull.pull('github.com/baonlq/poker-gym')
env = gym.make('baonlq/poker-v0')
env.reset()