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- from gym_minigrid.minigrid import Door, Goal, Grid, Key, MiniGridEnv
- 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"
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