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- from gym_minigrid.minigrid import *
- from gym_minigrid.register import register
- class RedBlueDoorEnv(MiniGridEnv):
- """
- Empty grid environment, no obstacles, sparse reward
- """
- def __init__(self, size=8):
- self.size = size
- super().__init__(
- grid_size=2*size,
- max_steps=10*size*size
- )
- def _gen_grid(self, width, height):
- # Create an empty grid
- self.grid = Grid(width, height)
- # Generate the grid walls
- self.grid.wall_rect(0, 0, 2*self.size, self.size)
- self.grid.wall_rect(self.size//2, 0, self.size, self.size)
- # Place the agent in the top-left corner
- self.place_agent(top=(self.size//2, 0), size=(self.size, self.size))
- # Add a red door at a random position in the left wall
- pos = self._rand_int(1, self.size - 1)
- self.red_door = Door("red")
- self.grid.set(self.size//2, pos, self.red_door)
- # Add a blue door at a random position in the right wall
- pos = self._rand_int(1, self.size - 1)
- self.blue_door = Door("blue")
- self.grid.set(self.size//2 + self.size - 1, pos, self.blue_door)
- # Generate the mission string
- self.mission = "open the red door then the blue door"
- def step(self, action):
- red_door_opened_before = self.red_door.is_open
- blue_door_opened_before = self.blue_door.is_open
- obs, reward, done, info = MiniGridEnv.step(self, action)
- red_door_opened_after = self.red_door.is_open
- blue_door_opened_after = self.blue_door.is_open
- if blue_door_opened_after:
- if red_door_opened_before:
- reward = self._reward()
- done = True
- else:
- reward = 0
- done = True
- elif red_door_opened_after:
- if blue_door_opened_before:
- reward = 0
- done = True
- return obs, reward, done, info
- class RedBlueDoorEnv6x6(RedBlueDoorEnv):
- def __init__(self):
- super().__init__(size=6)
- register(
- id='MiniGrid-RedBlueDoors-6x6-v0',
- entry_point='gym_minigrid.envs:RedBlueDoorEnv6x6'
- )
- register(
- id='MiniGrid-RedBlueDoors-8x8-v0',
- entry_point='gym_minigrid.envs:RedBlueDoorEnv'
- )
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