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- from gym_minigrid.minigrid import *
- from gym_minigrid.register import register
- class EmptyEnv(MiniGridEnv):
- """
- Empty grid environment, no obstacles, sparse reward
- """
- def __init__(
- self,
- size=8,
- agent_start_pos=(1,1),
- agent_start_dir=0,
- ):
- self.agent_start_pos = agent_start_pos
- self.agent_start_dir = agent_start_dir
- super().__init__(
- grid_size=size,
- max_steps=4*size*size,
- # Set this to True for maximum speed
- see_through_walls=True
- )
- 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 square in the bottom-right corner
- self.grid.set(width - 2, height - 2, Goal())
- # Place the agent
- if self.agent_start_pos is not None:
- self.agent_pos = self.agent_start_pos
- self.agent_dir = self.agent_start_dir
- else:
- self.place_agent()
- self.mission = "get to the green goal square"
- class EmptyEnv5x5(EmptyEnv):
- def __init__(self):
- super().__init__(size=5)
- class EmptyRandomEnv5x5(EmptyEnv):
- def __init__(self):
- super().__init__(size=5, agent_start_pos=None)
- class EmptyEnv6x6(EmptyEnv):
- def __init__(self):
- super().__init__(size=6)
- class EmptyRandomEnv6x6(EmptyEnv):
- def __init__(self):
- super().__init__(size=6, agent_start_pos=None)
- class EmptyEnv16x16(EmptyEnv):
- def __init__(self):
- super().__init__(size=16)
- register(
- id='MiniGrid-Empty-5x5-v0',
- entry_point='gym_minigrid.envs:EmptyEnv5x5'
- )
- register(
- id='MiniGrid-Empty-Random-5x5-v0',
- entry_point='gym_minigrid.envs:EmptyRandomEnv5x5'
- )
- register(
- id='MiniGrid-Empty-6x6-v0',
- entry_point='gym_minigrid.envs:EmptyEnv6x6'
- )
- register(
- id='MiniGrid-Empty-Random-6x6-v0',
- entry_point='gym_minigrid.envs:EmptyRandomEnv6x6'
- )
- register(
- id='MiniGrid-Empty-8x8-v0',
- entry_point='gym_minigrid.envs:EmptyEnv'
- )
- register(
- id='MiniGrid-Empty-16x16-v0',
- entry_point='gym_minigrid.envs:EmptyEnv16x16'
- )
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