Go To Door#


Action Space	`Discrete(7)`
Observation Space	`Dict('direction': Discrete(4), 'image': Box(0, 255, (7, 7, 3), uint8), 'mission': MissionSpace(<function GoToDoorEnv._gen_mission at 0x7f813f5073a0>, [['blue', 'green', 'grey', 'purple', 'red', 'yellow']]))`
Reward Range	`(0, 1)`
Creation	`gymnasium.make("MiniGrid-GoToDoor-8x8-v0")`

Description#

This environment is a room with four doors, one on each wall. The agent receives a textual (mission) string as input, telling it which door to go to, (eg: “go to the red door”). It receives a positive reward for performing the done action next to the correct door, as indicated in the mission string.

Mission Space#

“go to the {color} door”

{color} is the color of the door. Can be “red”, “green”, “blue”, “purple”, “yellow” or “grey”.

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	Unused
6	done	Done completing task

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/core/constants.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:

The agent stands next the correct door performing the done action.
Timeout (see max_steps).

Registered Configurations#

MiniGrid-GoToDoor-5x5-v0
MiniGrid-GoToDoor-6x6-v0
MiniGrid-GoToDoor-8x8-v0