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- from gym_minigrid.minigrid import *
- from gym_minigrid.register import register
- class DoorKeyEnv(MiniGridEnv):
- """
- Environment with a door and key, sparse reward
- """
- def __init__(self, size=8, **kwargs):
- if 'max_steps' not in kwargs:
- kwargs['max_steps'] = 10 * size * size
- super().__init__(
- grid_size=size,
- **kwargs
- )
- 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, **kwargs):
- super().__init__(size=5, **kwargs)
- class DoorKeyEnv6x6(DoorKeyEnv):
- def __init__(self, **kwargs):
- super().__init__(size=6, **kwargs)
- class DoorKeyEnv16x16(DoorKeyEnv):
- def __init__(self, **kwargs):
- super().__init__(size=16, **kwargs)
- 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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