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grid_world.py
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grid_world.py
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import gymnasium as gym
import random
import numpy as np
import time
class GridWorld(gym.Env):
def __init__(self, render_mode=None):
self.world = [[-10, -10, -10, -10, -10, -10, -10, -10],
[-10, 0, 0, 0, 0, 0, 10, -10],
[-10, 0, 0, 0, 0, 0, 10, -10],
[-10, 0, 0, 0, 0, 0, 10, -10],
[-10, 0, 0, 0, 0, 0, 10, -10],
[-10, 0, 0, 0, 0, 0, 10, -10],
[-10, 0, 0, 0, 0, 0, 10, -10],
[-10, -10, -10, -10, -10, -10, -10, -10]
]
self.state = None
self.episode_steps = 0
self.action_space = gym.spaces.Discrete(4)
self.observation_space = gym.spaces.MultiDiscrete(np.array([8, 8]))
def step(self, a):
step = [[1, 0], [-1, 0], [0, 1], [0, -1]][a]
self.state += step
world_reward = self.world[self.state[1]][self.state[0]]
re = world_reward - 1 + 0.01*(self.state[0])
done = world_reward == -10 or self.episode_steps > 25 or world_reward == 10
self.episode_steps += 1
return self.state, re, done, False, {}
def reset(self, **kwargs):
# TODO reset based on real environment
self.episode_steps = 0
y_pos = random.randint(1, 6)
self.state = np.array([1, y_pos])
return self.state, {}
def render(self):
print("------------")
print("position: ", self.state)
for i in range(len(self.world)):
string = ""
for k in range(len(self.world[0])):
if np.array_equal(self.state, [k, i]):
string += "@"
elif self.world[i][k] == -10:
string += "X"
elif self.world[i][k] == 10:
string += "$"
elif self.world[i][k] == 0:
string += " "
print(string)
print("------------")
time.sleep(1)