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.put_obj(Goal(), width - 2, height - 2) # 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' )