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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):
- super().__init__(gridSize=size, maxSteps=4 * size)
- def _genGrid(self, width, height):
- # Create an empty grid
- grid = Grid(width, height)
- # Place walls around the edges
- for i in range(0, width):
- grid.set(i, 0, Wall())
- grid.set(i, height - 1, Wall())
- for j in range(0, height):
- grid.set(0, j, Wall())
- grid.set(height - 1, j, Wall())
- # Place a goal in the bottom-right corner
- grid.set(width - 2, height - 2, Goal())
- # Create a vertical splitting wall
- splitIdx = self._randInt(2, width-2)
- for i in range(0, height):
- grid.set(splitIdx, i, Wall())
- # Place the agent at a random position and orientation
- self.startPos = self._randPos(
- 1, splitIdx,
- 1, height-1
- )
- self.startDir = self._randInt(0, 4)
- # Place a door in the wall
- doorIdx = self._randInt(1, width-2)
- grid.set(splitIdx, doorIdx, LockedDoor('yellow'))
- # Place a yellow key on the left side
- while True:
- pos = self._randPos(
- 1, splitIdx,
- 1, height-1
- )
- if pos == self.startPos:
- continue
- if grid.get(*pos) != None:
- continue
- grid.set(*pos, Key('yellow'))
- break
- return grid
- 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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