gym-tic-tac-toe/gym_random_walk/envs/random_walk_env.py
2017-04-01 01:54:06 +02:00

32 lines
768 B
Python

import gym
from gym import error, spaces, utils
from gym.utils import seeding
import numpy as np
class RandomWalkEnv(gym.Env):
metadata = {'render.modes': ['human']}
def __init__(self):
self.action_space = spaces.Discrete(2)
#print("init")
def _step(self, action):
#print("step")
reward = 0
done = False
if (action == 0):
self.state -= 1
if (action == 1):
self.state += 1
if (self.state >= 6):
reward = 1
done = True
if (self.state <= 0):
done = True
return np.array(self.state), reward, done, {}
def _reset(self):
#print("reset")
self.state = 1 # TODO start in a random position
def _render(self, mode='human', close=False):
#print("render")
print(self.state)