Gym-MiniGrid/gym_minigrid/envs/empty.py

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):
        super().__init__(grid_size=size, max_steps=3*size)

    def _genGrid(self, width, height):
        # Create an empty grid
        self.grid = Grid(width, height)

        # Generate the surrounding walls
        self.grid.horzWall(0, 0)
        self.grid.horzWall(0, height-1)
        self.grid.vertWall(0, 0)
        self.grid.vertWall(width-1, 0)

        # Place the agent in the top-left corner
        self.start_pos = (1, 1)
        self.start_dir = 0

        # Place a goal square in the bottom-right corner
        self.grid.set(width - 2, height - 2, Goal())

        self.mission = "get to the green goal square"

class EmptyEnv6x6(EmptyEnv):
    def __init__(self):
        super().__init__(size=6)

class EmptyEnv16x16(EmptyEnv):
    def __init__(self):
        super().__init__(size=16)

register(
    id='MiniGrid-Empty-6x6-v0',
    entry_point='gym_minigrid.envs:EmptyEnv6x6'
)

register(
    id='MiniGrid-Empty-8x8-v0',
    entry_point='gym_minigrid.envs:EmptyEnv'
)

register(
    id='MiniGrid-Empty-16x16-v0',
    entry_point='gym_minigrid.envs:EmptyEnv16x16'
)