The source code and dockerfile for the GSW2024 AI Lab.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
This repo is archived. You can view files and clone it, but cannot push or open issues/pull-requests.
 
 
 
 
 
 

127 lines
4.1 KiB

from __future__ import annotations
from minigrid.core.grid import Grid
from minigrid.core.mission import MissionSpace
from minigrid.core.world_object import Door
from minigrid.minigrid_env import MiniGridEnv
class RedBlueDoorEnv(MiniGridEnv):
"""
## Description
The agent is randomly placed within a room with one red and one blue door
facing opposite directions. The agent has to open the red door and then open
the blue door, in that order. Note that, surprisingly, this environment is
solvable without memory.
## Mission Space
"open the red door then the blue 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 blue door having already opened the red door.
2. The agent opens the blue door without having opened the red door yet.
3. Timeout (see `max_steps`).
## Registered Configurations
- `MiniGrid-RedBlueDoors-6x6-v0`
- `MiniGrid-RedBlueDoors-8x8-v0`
"""
def __init__(self, size=8, max_steps: int | None = None, **kwargs):
self.size = size
mission_space = MissionSpace(mission_func=self._gen_mission)
if max_steps is None:
max_steps = 20 * size**2
super().__init__(
mission_space=mission_space,
width=2 * size,
height=size,
max_steps=max_steps,
**kwargs,
)
@staticmethod
def _gen_mission():
return "open the red door then the blue door"
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, terminated, truncated, info = super().step(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()
terminated = True
else:
reward = 0
terminated = True
elif red_door_opened_after:
if blue_door_opened_before:
reward = 0
terminated = True
return obs, reward, terminated, truncated, info