Cart_pole_env.py

import gym
import numpy as np
import math
import matplotlib.pyplot as plt

# CREATE ENVIRONMENT
env = gym.make('CartPole-v0')
n_actions = env.action_space.n
n_states = env.observation_space.shape[0]
print("Action space size: ", n_actions)
print("State space size: ", n_states)

print('states high value:')
print(env.observation_space.high[0])
print(env.observation_space.high[1])
print(env.observation_space.high[2])
print(env.observation_space.high[3])

print('states low value:')
print(env.observation_space.low[0])
print(env.observation_space.low[1])
print(env.observation_space.low[2])
print(env.observation_space.low[3])