gym-minigrid/gym_minigrid/backup_envs/gotodoorsesame.py

from gym_minigrid.minigrid import *
from gym_minigrid.register import register
 

class SesameGrammar(object):

    templates = ["Open", "Who is", "Where is"]
    things = ["the exit", "sesame", "the chest", "him", "that"]

    grammar_action_space = spaces.MultiDiscrete([len(templates), len(things)])

    @classmethod
    def construct_utterance(cls, action):
        return cls.templates[int(action[0])] + " " + cls.things[int(action[1])] + "."


class GoToDoorSesameEnv(MultiModalMiniGridEnv):
    """
    Environment in which the agent is instructed to go to a given object
    named using an English text string
    """

    def __init__(
        self,
        size=5
    ):
        assert size >= 5

        super().__init__(
            grid_size=size,
            max_steps=5*size**2,
            # Set this to True for maximum speed
            see_through_walls=True,
            actions=MiniGridEnv.Actions,
            action_space=spaces.MultiDiscrete([
                len(MiniGridEnv.Actions),
                *SesameGrammar.grammar_action_space.nvec
            ])
        )

    def _gen_grid(self, width, height):
        # Create the grid
        self.grid = Grid(width, height)

        # Randomly vary the room width and height
        width = self._rand_int(5, width+1)
        height = self._rand_int(5, height+1)

        # Generate the surrounding walls
        self.grid.wall_rect(0, 0, width, height)

        # Generate the 4 doors at random positions
        doorPos = (self._rand_int(2, width-2), 0)
        doorColors = self._rand_elem(COLOR_NAMES)
        self.grid.set(*doorPos, Door(doorColors))

        # doorPos = []
        # doorPos.append((self._rand_int(2, width-2), 0))
        #
        # # Generate the door colors
        # doorColors = []
        # while len(doorColors) < len(doorPos):
        #     color = self._rand_elem(COLOR_NAMES)
        #     if color in doorColors:
        #         continue
        #     doorColors.append(color)
        #
        # # Place the doors in the grid
        # for idx, pos in enumerate(doorPos):
        #     color = doorColors[idx]
        #     self.grid.set(*pos, Door(color))

        # Randomize the agent start position and orientation
        self.place_agent(size=(width, height))

        # Select a random target door
        # doorIdx = self._rand_int(0, len(doorPos))
        # self.target_pos = doorPos[doorIdx]
        # self.target_color = doorColors[doorIdx]
        self.target_pos = doorPos
        self.target_color = doorColors

        # Generate the mission string
        self.mission = 'go to the %s door' % self.target_color

        # Initialize the dialogue string
        self.dialogue = "This is what you hear. \n"

    def gen_obs(self):
        obs = super().gen_obs()

        # add dialogue to obs
        obs["dialogue"] = self.dialogue

        return obs

    def step(self, action):
        p_action = action[0]
        utterance_action = action[1:]

        assert len(set(np.isnan(utterance_action))) == 1

        speak_flag = not all(np.isnan(utterance_action))

        obs, reward, done, info = super().step(p_action)

        ax, ay = self.agent_pos
        tx, ty = self.target_pos

        # Don't let the agent open any of the doors
        if p_action == self.actions.toggle:
            done = True

        # magic words if front of the door
        if speak_flag:
            utterance = SesameGrammar.construct_utterance(utterance_action)
            self.dialogue += "YOU: " + utterance + "\n"

            if utterance == SesameGrammar.construct_utterance([0, 1]):
                if (ax == tx and abs(ay - ty) == 1) or (ay == ty and abs(ax - tx) == 1):
                    reward = self._reward()
                    done = True

        # Reward performing done action in front of the target door
        # if p_action == self.actions.done:
        #     if (ax == tx and abs(ay - ty) == 1) or (ay == ty and abs(ax - tx) == 1):
        #             reward = self._reward()
        #             done = True

        return obs, reward, done, info

    def render(self, *args, **kwargs):
        obs = super().render(*args, **kwargs)
        self.window.set_caption(self.dialogue, [
            "Gandalf:",
            "Jack:",
            "John:",
            "Where is the exit",
            "Open sesame",
        ])
        return obs


class GoToDoorSesame8x8Env(GoToDoorSesameEnv):
    def __init__(self):
        super().__init__(size=8)

class GoToDoorSesame6x6Env(GoToDoorSesameEnv):
    def __init__(self):
        super().__init__(size=6)

register(
    id='MiniGrid-GoToDoorSesame-5x5-v0',
    entry_point='gym_minigrid.envs:GoToDoorSesameEnv'
)

register(
    id='MiniGrid-GoToDoorSesame-6x6-v0',
    entry_point='gym_minigrid.envs:GoToDoorSesame6x6Env'
)

register(
    id='MiniGrid-GoToDoorSesame-8x8-v0',
    entry_point='gym_minigrid.envs:GoToDoorSesame8x8Env'
)