from gym_minigrid.minigrid import * from gym_minigrid.register import register class RedBlueDoorEnv(MiniGridEnv): """ Empty grid environment, no obstacles, sparse reward """ def __init__(self, size=8): self.size = size super().__init__( grid_size=2*size, max_steps=10*size*size ) def _gen_grid(self, width, height): # Create an empty grid self.grid = Grid(width, height) # Generate the grid walls self.grid.wall_rect(0, 0, 2*self.size, self.size) self.grid.wall_rect(self.size//2, 0, self.size, self.size) # Place the agent in the top-left corner self.place_agent(top=(self.size//2, 0), size=(self.size, self.size)) # Add a red door at a random position in the left wall pos = self._rand_int(1, self.size - 1) self.red_door = Door("red") self.grid.set(self.size//2, pos, self.red_door) # Add a blue door at a random position in the right wall pos = self._rand_int(1, self.size - 1) self.blue_door = Door("blue") self.grid.set(self.size//2 + self.size - 1, pos, self.blue_door) # Generate the mission string self.mission = "open the red door then the blue door" def step(self, action): red_door_opened_before = self.red_door.is_open blue_door_opened_before = self.blue_door.is_open obs, reward, done, info = MiniGridEnv.step(self, action) red_door_opened_after = self.red_door.is_open blue_door_opened_after = self.blue_door.is_open if blue_door_opened_after: if red_door_opened_before: reward = self._reward() done = True else: reward = 0 done = True elif red_door_opened_after: if blue_door_opened_before: reward = 0 done = True return obs, reward, done, info class RedBlueDoorEnv6x6(RedBlueDoorEnv): def __init__(self): super().__init__(size=6) register( id='MiniGrid-RedBlueDoors-6x6-v0', entry_point='gym_minigrid.envs:RedBlueDoorEnv6x6' ) register( id='MiniGrid-RedBlueDoors-8x8-v0', entry_point='gym_minigrid.envs:RedBlueDoorEnv' )