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from __future__ import annotations
from minigrid.core.mission import MissionSpace from minigrid.core.roomgrid import RoomGrid
class UnlockEnv(RoomGrid):
"""
## Description
The agent has to open a locked door. This environment can be solved without relying on language.
## Mission Space
"open the door"
## Action Space
| Num | Name | Action | |-----|--------------|---------------------------| | 0 | left | Turn left | | 1 | right | Turn right | | 2 | forward | Move forward | | 3 | pickup | Unused | | 4 | drop | Unused | | 5 | toggle | Toggle/activate an object | | 6 | done | Unused |
## Observation Encoding
- Each tile is encoded as a 3 dimensional tuple: `(OBJECT_IDX, COLOR_IDX, STATE)` - `OBJECT_TO_IDX` and `COLOR_TO_IDX` mapping can be found in [minigrid/minigrid.py](minigrid/minigrid.py) - `STATE` refers to the door state with 0=open, 1=closed and 2=locked
## Rewards
A reward of '1 - 0.9 * (step_count / max_steps)' is given for success, and '0' for failure.
## Termination
The episode ends if any one of the following conditions is met:
1. The agent opens the door. 2. Timeout (see `max_steps`).
## Registered Configurations
- `MiniGrid-Unlock-v0`
"""
def __init__(self, max_steps: int | None = None, **kwargs): room_size = 6 mission_space = MissionSpace(mission_func=self._gen_mission)
if max_steps is None: max_steps = 8 * room_size**2
super().__init__( mission_space=mission_space, num_rows=1, num_cols=2, room_size=room_size, max_steps=max_steps, **kwargs, )
@staticmethod def _gen_mission(): return "open the door"
def _gen_grid(self, width, height): super()._gen_grid(width, height)
# Make sure the two rooms are directly connected by a locked door door, _ = self.add_door(0, 0, 0, locked=True) # Add a key to unlock the door self.add_object(0, 0, "key", door.color)
self.place_agent(0, 0)
self.door = door self.mission = "open the door"
def step(self, action): obs, reward, terminated, truncated, info = super().step(action)
if action == self.actions.toggle: if self.door.is_open: reward = self._reward() terminated = True
return obs, reward, terminated, truncated, info
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