def __init__(self, width, height, mechanic, mechanic_args):
self.env = MazeGame((width, height),
mechanic=mechanic,
mechanic_args=mechanic_args)
self.observation_space = self.env.get_state().shape
self.action_space = 4
def __init__(self, width, height):
opt = dict(algorithm="none", disable_target=True)
self.env = MazeGame((width, height),
mechanic=NoMazeEnv.NoMazeMechanic,
mechanic_args=None,
options=opt)
self.observation_space = self.env.get_state().shape
self.action_space = 4
def __init__(self, width, height, state_type, mechanic, mechanic_args):
self.env = MazeGame((width, height), mechanic=mechanic, mechanic_args=mechanic_args)
if state_type == "image":
self.env.set_preprocess(dict(
image=dict(),
#resize=dict(size=(84, 84)),
#grayscale=dict()
))
self.observation_space = self.env.get_state().shape
self.action_space = 4
def __init__(self, width, height, state_type):
opt = dict(algorithm="none", disable_target=True)
self.env = MazeGame((width, height),
mechanic=NoMazeEnv.NoMazeMechanic,
mechanic_args=None,
options=opt)
if state_type == "image":
self.env.set_preprocess(
dict(image=dict(),
#resize=dict(size=(84, 84)),
#grayscale=dict()
))
self.observation_space = self.env.get_state().shape
self.action_space = 4
if __name__ == "__main__":
env = gym.make("Maze-11x11-NormalMaze-v0")
while False:
a = random.randint(0, 3)
s, r, t, info = env.step(a)
env.render()
if t:
env.reset()
# Direct initialization
m = MazeGame((32, 32),
mechanic=MazeGame.NormalMaze,
mechanic_args=dict(vision=3))
path = list(reversed(m.maze_optimal_path[1]))
fps = 0
path.pop()
while True:
nx, ny = path.pop()
px, py = m.player
dx, dy = nx - px, ny - py
if dx == 1:
a = 3
elif dx == -1:
a = 2