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- from gym_minigrid.minigrid import Door, Goal, Grid, Key, MiniGridEnv
- from gym_minigrid.register import register
- class DoorKeyEnv(MiniGridEnv):
- """
- Environment with a door and key, sparse reward
- """
- def __init__(self, size=8):
- super().__init__(grid_size=size, max_steps=10 * size * size)
- def _gen_grid(self, width, height):
- # Create an empty grid
- self.grid = Grid(width, height)
- # Generate the surrounding walls
- self.grid.wall_rect(0, 0, width, height)
- # Place a goal in the bottom-right corner
- self.put_obj(Goal(), width - 2, height - 2)
- # Create a vertical splitting wall
- splitIdx = self._rand_int(2, width - 2)
- self.grid.vert_wall(splitIdx, 0)
- # Place the agent at a random position and orientation
- # on the left side of the splitting wall
- self.place_agent(size=(splitIdx, height))
- # Place a door in the wall
- doorIdx = self._rand_int(1, width - 2)
- self.put_obj(Door("yellow", is_locked=True), splitIdx, doorIdx)
- # Place a yellow key on the left side
- self.place_obj(obj=Key("yellow"), top=(0, 0), size=(splitIdx, height))
- self.mission = "use the key to open the door and then get to the goal"
- class DoorKeyEnv5x5(DoorKeyEnv):
- def __init__(self):
- super().__init__(size=5)
- class DoorKeyEnv6x6(DoorKeyEnv):
- def __init__(self):
- super().__init__(size=6)
- class DoorKeyEnv16x16(DoorKeyEnv):
- def __init__(self):
- super().__init__(size=16)
- register(id="MiniGrid-DoorKey-5x5-v0", entry_point="gym_minigrid.envs:DoorKeyEnv5x5")
- register(id="MiniGrid-DoorKey-6x6-v0", entry_point="gym_minigrid.envs:DoorKeyEnv6x6")
- register(id="MiniGrid-DoorKey-8x8-v0", entry_point="gym_minigrid.envs:DoorKeyEnv")
- register(
- id="MiniGrid-DoorKey-16x16-v0", entry_point="gym_minigrid.envs:DoorKeyEnv16x16"
- )
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